From 2c3b7d60b77cb0f303c358e84ca88bdfb449fc34 Mon Sep 17 00:00:00 2001 From: "localizeflow[bot]" Date: Mon, 5 Jan 2026 16:27:48 +0000 Subject: [PATCH] chore(i18n): sync translations with latest source changes (chunk 1/1, 6 files) --- translations/bg/README.md | 257 ++++++++++++++++++------------------ translations/cs/README.md | 183 +++++++++++++------------- translations/hu/README.md | 240 ++++++++++++++++++---------------- translations/ro/README.md | 267 ++++++++++++++++++++------------------ translations/sk/README.md | 201 ++++++++++++++-------------- translations/sr/README.md | 217 ++++++++++++++++--------------- 6 files changed, 713 insertions(+), 652 deletions(-) diff --git a/translations/bg/README.md b/translations/bg/README.md index 54b64d4f..a386a450 100644 --- a/translations/bg/README.md +++ b/translations/bg/README.md @@ -1,222 +1,233 @@ -[![Лиценз на GitHub](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![Приносители в GitHub](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![Проблеми в GitHub](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![Pull заявки в GitHub](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PRs добре дошли](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![Наблюдатели в GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![Форкове в GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![Звезди в GitHub](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) -[![Discord на Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) # Изкуствен интелект за начинаещи - Учебна програма -|![Sketchnote от @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.bg.png)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.bg.png)| |:---:| -| Изкуствен интелект за начинаещи - _Sketchnote от [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ | -Проучете света на **Изкуствения интелект** (ИИ) с нашата 12-седмична учебна програма от 24 урока! Тя включва практически уроци, тестове и лаборатории. Учебната програма е подходяща за начинаещи и обхваща инструменти като TensorFlow и PyTorch, както и етиката в ИИ +Изследвайте света на **Изкуствения интелект** (ИИ) с нашата 12-седмична програма от 24 урока! Тя включва практически уроци, тестове и лабораторни занятия. Учебната програма е подходяща за начинаещи и покрива инструменти като TensorFlow и PyTorch, както и етиката в ИИ -### 🌐 Поддръжка на множество езици + +### 🌐 Мултиезична Поддръжка #### Поддържа се чрез GitHub Action (Автоматично и винаги актуално) -[арабски](../ar/README.md) | [бенгалски](../bn/README.md) | [български](./README.md) | [бирмански (Мианмар)](../my/README.md) | [Китайски (опростен)](../zh/README.md) | [Китайски (традиционен, Хонконг)](../hk/README.md) | [Китайски (традиционен, Макао)](../mo/README.md) | [Китайски (традиционен, Тайван)](../tw/README.md) | [хърватски](../hr/README.md) | [чешки](../cs/README.md) | [датски](../da/README.md) | [холандски](../nl/README.md) | [естонски](../et/README.md) | [финландски](../fi/README.md) | [френски](../fr/README.md) | [немски](../de/README.md) | [гръцки](../el/README.md) | [иврит](../he/README.md) | [хинди](../hi/README.md) | [унгарски](../hu/README.md) | [индонезийски](../id/README.md) | [италиански](../it/README.md) | [японски](../ja/README.md) | [каннада](../kn/README.md) | [корейски](../ko/README.md) | [литовски](../lt/README.md) | [малайски](../ms/README.md) | [малаялам](../ml/README.md) | [маратхи](../mr/README.md) | [непали](../ne/README.md) | [нигерийски пиджин](../pcm/README.md) | [норвежки](../no/README.md) | [персийски (фарси)](../fa/README.md) | [полски](../pl/README.md) | [португалски (Бразилия)](../br/README.md) | [португалски (Португалия)](../pt/README.md) | [панджаби (Гурумухи)](../pa/README.md) | [румънски](../ro/README.md) | [руски](../ru/README.md) | [сръбски (кирилица)](../sr/README.md) | [словашки](../sk/README.md) | [словенски](../sl/README.md) | [испански](../es/README.md) | [суахили](../sw/README.md) | [шведски](../sv/README.md) | [тагалог (филипински)](../tl/README.md) | [тамилски](../ta/README.md) | [телугу](../te/README.md) | [тайландски](../th/README.md) | [турски](../tr/README.md) | [украински](../uk/README.md) | [урду](../ur/README.md) | [виетнамски](../vi/README.md) +[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](./README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) + +> **Предпочитате да клонирате локално?** + +> Това хранилище включва над 50 езикови превода, което значително увеличава размера на изтегляне. За да клонирате без преводи, използвайте sparse checkout: +> ```bash +> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git +> cd AI-For-Beginners +> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' +> ``` +> Това ви осигурява всичко необходимо за завършване на курса с много по-бързо изтегляне. -**Ако желаете да добавите допълнителни преводи, поддържаните езици са изброени [тук](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Ако желаете да бъдат поддържани допълнителни езици за превод, те са изброени [тук](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Присъединете се към общността -[![Discord на Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) ## Какво ще научите -**[Ментална карта на курса](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[Мисловна карта на курса](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** В тази учебна програма ще научите: -* Различни подходи към изкуствения интелект, включително „стария добър“ символен подход с **Представяне на знания** и умозаключение ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Невронни мрежи** и **Дълбоко обучение**, които са в основата на съвременния ИИ. Ще илюстрираме концепциите зад тези важни теми чрез код в две от най-популярните рамки - [TensorFlow](http://Tensorflow.org) и [PyTorch](http://pytorch.org). -* **Невронни архитектури** за работа с изображения и текст. Ще покрием по-нови модели, но може да сме малко по-дефицитни по отношение на най-новите постижения. -* По-малко популярни подходи в ИИ, като **Генетични алгоритми** и **Многоагентни системи**. +* Различни подходи към изкуствения интелект, включително „добрия стар“ символен подход с **Представяне на знания** и логическо разсъждение ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Невронни мрежи** и **Дълбоко обучение**, които стоят в основата на съвременния ИИ. Ще илюстрираме концепциите зад тези важни теми чрез код в две от най-популярните рамки - [TensorFlow](http://Tensorflow.org) и [PyTorch](http://pytorch.org). +* **Невронни архитектури** за работа с изображения и текст. Ще разгледаме съвременни модели, но може да сме малко по-ограничени в най-новите постижения. +* По-малко популярни подходи в ИИ, като **Генетични алгоритми** и **Мултиагентни системи**. Какво няма да покрием в тази учебна програма: > [Намерете всички допълнителни ресурси за този курс в нашата колекция Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Бизнес казуси за използване на **ИИ в бизнеса**. Помислете да преминете през учебния път [Въведение в ИИ за бизнес потребители](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) в Microsoft Learn, или [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), разработен в сътрудничество с [INSEAD](https://www.insead.edu/). -* **Класическо машинно обучение**, което е добре описано в нашата учебна програма [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners). -* Практически приложения на ИИ, изградени с помощта на **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. За това препоръчваме да започнете с модули в Microsoft Learn за [компютърно зрение](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [обработка на естествен език](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Генеративен ИИ с Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** и други. -* Специфични облачни рамки за машинно обучение, като [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) или [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Помислете да използвате учебните пътеки [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) и [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **Разговорен ИИ** и **чат ботове**. Има отделен учебен път [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), и можете също да се позовете на [този блог пост](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) за повече детайли. -* **Дълбока математика** зад дълбокото обучение. За това препоръчваме [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) от Ian Goodfellow, Yoshua Bengio и Aaron Courville, която е достъпна и онлайн на [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Бизнес случаи за използване на **ИИ в бизнеса**. Помислете да преминете учебната пътека [Въведение в ИИ за бизнес потребители](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) в Microsoft Learn или [Бизнес училище по ИИ](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), разработено в сътрудничество с [INSEAD](https://www.insead.edu/). +* **Класически машинно обучение**, което е добре описано в нашата [Учебна програма по машинно обучение за начинаещи](http://github.com/Microsoft/ML-for-Beginners). +* Практически приложения на ИИ, изградени с използване на **[Когнитивни услуги](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. За това препоръчваме да започнете с модулите на Microsoft Learn за [визия](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [обработка на естествен език](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Генеративен ИИ с Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** и други. +* Специфични **Облачни рамки за МL**, като [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) или [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Помислете да използвате учебните пътеки [Създаване и управление на решения за машинно обучение с Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) и [Създаване и управление на решения за машинно обучение с Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Разговорен ИИ** и **чат ботове**. Съществува отделна учебна пътека [Създаване на разговорни ИИ решения](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) и можете също да се запознаете с [този блог пост](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) за повече подробности. +* **Дълбока математика** зад дълбокото обучение. За тази цел препоръчваме [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) от Иън Гудфелоу, Йошуа Бенджио и Аарон Кюрвил, която също е достъпна онлайн на [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -За меко въведение в темите за _ИИ в облака_ може да помислите да преминете учебния път [Започване с изкуствен интелект в Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +За леко въведение в темите за _ИИ в облака_ може да разгледате учебната пътека [Започнете с изкуствен интелект в Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Съдържание -| | Връзка към урока | PyTorch/Keras/TensorFlow | Лаборатория | +| | Връзка към урока | PyTorch/Keras/TensorFlow | Лаборатория | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Настройка на курса](./lessons/0-course-setup/setup.md) | [Настройка на вашата среда за разработка](./lessons/0-course-setup/how-to-run.md) | | -| I | [**Въведение в изкуствения интелект**](./lessons/1-Intro/README.md) | | | -| 01 | [Въведение и история на изкуствения интелект](./lessons/1-Intro/README.md) | - | - | +| 0 | [Настройване на курса](./lessons/0-course-setup/setup.md) | [Настройте своята среда за разработка](./lessons/0-course-setup/how-to-run.md) | | +| I | [**Въведение в ИИ**](./lessons/1-Intro/README.md) | | | +| 01 | [Въведение и история на ИИ](./lessons/1-Intro/README.md) | - | - | | II | **Символен ИИ** | -| 02 | [Представяне на знания и експертни системи](./lessons/2-Symbolic/README.md) | [Експертни системи](./lessons/2-Symbolic/Animals.ipynb) / [Онтология](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Концептуален граф](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| 02 | [Представяне на знания и експертни системи](./lessons/2-Symbolic/README.md) | [Експертни системи](./lessons/2-Symbolic/Animals.ipynb) / [Онтология](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Граф на концепции](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Въведение в невронните мрежи**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [Перцептрон](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Бележник](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Лаб](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Многослоен перцептрон и създаване на собствен фреймуърк](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Бележник](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Лаб](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Въведение във фреймуъркове (PyTorch/TensorFlow) и overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лаб](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Компютърно зрение**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Разгледайте компютърно зрение в Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Въведение в компютърното зрение. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Бележник](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Лаб](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Конволюционни невронни мрежи](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Архитектури на CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Лаб](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Предварително обучени мрежи и трансферно обучение](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Трикове при трениране](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лаб](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 03 | [Перцептрон](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Тетрадка](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Лаборатория](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [Многослоен перцептрон и създаване на собствена рамка](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Тетрадка](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Лаборатория](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Въведение в рамките (PyTorch/TensorFlow) и презаучаване](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лаборатория](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Компютърно зрение**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Открий Компютърно зрение в Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [Въведение в компютърното зрение. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Тетрадка](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Лаборатория](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [Конволюционни невронни мрежи](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Архитектури на CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Лаборатория](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Предварително обучени мрежи и пренаучаване](./lessons/4-ComputerVision/08-TransferLearning/README.md) и [Трикове за обучение](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лаборатория](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Автоенкодери и VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Генеративни състезателни мрежи и артистичен трансфер на стил](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [Откриване на обекти](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Лаб](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 10 | [Генеративни състезателни мрежи и трансфер на художествен стил](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [Обектно разпознаване](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Лаборатория](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Семантично сегментиране. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | -| V | [**Обработка на естествен език**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Разгледайте обработка на естествен език в Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Представяне на текст. BoW/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | -| 14 | [Семантични вграждания на думи. Word2Vec и GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [Езиково моделиране. Трениране на собствени вграждания](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Лаб](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| V | [**Обработка на естествен език**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Открий Обработка на естествен език в Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [Представяне на текст. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | +| 14 | [Семантични вградени представяния на думи. Word2Vec и GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | +| 15 | [Моделиране на езика. Обучение на собствени вградени представяния](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Лаборатория](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [Рекурентни невронни мрежи](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | -| 17 | [Генеративни рекурентни мрежи](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Лаб](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 17 | [Генеративни рекурентни мрежи](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Лаборатория](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Трансформъри. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [Разпознаване на именовани обекти](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Лаб](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Големи езикови модели, prompt programming и задачи с малко примери](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **Други техники за ИИ** || | -| 21 | [Генетични алгоритми](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Бележник](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Дълбоко обучение с подсилване](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Лаб](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [Системи с множество агенти](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **Етика на ИИ** | | | -| 24 | [Етика на ИИ и отговорен ИИ](./lessons/7-Ethics/README.md) | [Microsoft Learn: Принципи за отговорен ИИ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | **Допълнения** | | | -| 25 | [Мултимодални мрежи, CLIP и VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Бележник](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 19 | [Идентификация на именувани обекти](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Лаборатория](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Големи езикови модели, програмиране с подсказки и задачи с малко примери](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **Други AI техники** || | +| 21 | [Генетични алгоритми](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Тетрадка](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [Дълбоко подсилващо обучение](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Лаборатория](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [Мултиагентни системи](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| VII | **Етика на изкуствения интелект** | | | +| 24 | [Етика на AI и отговорен AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Принципи за отговорен AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| IX | **Допълнително** | | | +| 25 | [Мулти-модални мрежи, CLIP и VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Тетрадка](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | -## Всеки урок съдържа +## Всяко занятие съдържа -* Материал за предварително четене -* Изпълними Jupyter бележници, които често са специфични за фреймуърка (**PyTorch** или **TensorFlow**). Изпълнимият бележник също съдържа много теоретичен материал, така че за да разберете темата трябва да преминете поне през една версия на бележника (или PyTorch, или TensorFlow). -* **Лаборатории** налични за някои теми, които ви дават възможност да опитате да приложите наученото към конкретен проблем. -* Някои секции съдържат връзки към [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) модули, които покриват свързани теми. +* Предварителен материал за четене +* Изпълними Jupyter тетрадки, които често са специфични за рамката (**PyTorch** или **TensorFlow**). Изпълнимата тетрадка съдържа и много теоретичен материал, така че за да разберете темата, трябва да преминете поне една версия на тетрадката (PyTorch или TensorFlow). +* **Лаборатории**, налични за някои теми, които ви дават възможност да приложите наученото към конкретен проблем. +* Някои раздели съдържат връзки към модули на [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), които покриват свързани теми. -## Първи стъпки +## Започване -### 🎯 Нов в ИИ? Започнете тук! +### 🎯 Нов в AI? Започнете тук! -Ако сте напълно нов в областта на ИИ и искате бързи практически примери, разгледайте нашите [**Примери за начинаещи**](./examples/README.md)! Те включват: +Ако сте напълно нови в AI и искате бързи примери за работа, разгледайте нашите [**Примери за начинаещи**](./examples/README.md)! Те включват: -- 🌟 **Здравей, свят на ИИ** - Вашата първа програма за ИИ (разпознаване на образци) -- 🧠 **Проста невронна мрежа** - Изградете невронна мрежа от нулата -- 🖼️ **Класификатор на изображения** - Класира изображения с подробни коментари -- 💬 **Text Sentiment** - Analyze positive/negative text +- 🌟 **Здравей AI свят** - Вашата първа AI програма (разпознаване на шаблони) +- 🧠 **Проста невронна мрежа** - Създайте невронна мрежа от нулата +- 🖼️ **Класификатор на изображения** - Класифицирайте изображения с подробни коментари +- 💬 **Текстов сентимент** - Анализиране на положителен / отрицателен текст -These examples are designed to help you understand AI concepts before diving into the full curriculum. +Тези примери са създадени, за да ви помогнат да разберете концепциите на ИИ, преди да се потопите в пълната учебна програма. -### 📚 Full Curriculum Setup +### 📚 Настройване на пълната учебна програма -- We have created a [setup lesson](./lessons/0-course-setup/setup.md) to help you with setting up your development environment. - For Educators, we have created a [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) for you too! -- How to [Run the code in a VSCode or a Codepace](./lessons/0-course-setup/how-to-run.md) +- Създадохме [урок за настройка](./lessons/0-course-setup/setup.md), за да ви помогнем с настройването на вашата среда за разработка. - За преподаватели също сме създали [урок за настройка на учебната програма](./lessons/0-course-setup/for-teachers.md)! +- Как да [стартирате кода във VSCode или Codepace](./lessons/0-course-setup/how-to-run.md) -Follow these steps: +Следвайте тези стъпки: -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +Форкнете хранилището: Кликнете бутона "Fork" в горния десен ъгъл на тази страница. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Клонирайте хранилището: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +Не забравяйте да звездирате (🌟) това хранилище, за да го намирате по-лесно по-късно. -## Meet other Learners +## Запознайте се с други учащи -Join our [official AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) to meet and network with other learners taking this course and get support. +Присъединете се към нашия [официален AI Discord сървър](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), за да срещнете и създадете мрежа с други учащи, които следват този курс, и да получите подкрепа. -If you have product feedback or questions whilst building visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +Ако имате обратна връзка или въпроси по време на разработване, посетете нашия [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) -## Quizzes +## Тестове -> **A note about quizzes**: All quizzes are contained in the Quiz-app folder in etc\quiz-app, or [Online Here](https://ff-quizzes.netlify.app/) They are linked from within the lessons the quiz app can be run locally or deployed to Azure; follow the instruction in the `quiz-app` folder. They are gradually being localized. +> **Бележка за тестовете**: Всички тестове са в папката Quiz-app в etc\quiz-app или [онлайн тук](https://ff-quizzes.netlify.app/). Те са свързани от уроците; приложението за тестове може да се стартира локално или да се пусне в Azure; следвайте инструкциите в папката `quiz-app`. Постепенно се локализират. -## Help Wanted +## Търсим помощ -Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request. +Имате ли предложения или сте намерили правописни или кодови грешки? Създайте issue или pull request. -## Special Thanks +## Специални благодарности -* **✍️ Primary Author:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Sketchnote illustrator:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ Quiz Creator:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Core Contributors:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **✍️ Основен автор:** [Dmitry Soshnikov](http://soshnikov.com), доктор +* **🔥 Редактор:** [Jen Looper](https://twitter.com/jenlooper), доктор +* **🎨 Илюстратор на схеми:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ Създател на тестове:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 Основни сътрудници:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Other Curricula +## Други учебни програми -Our team produces other curricula! Check out: +Нашият екип създава и други учебни програми! Вижте: ### LangChain -[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) -[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) +[![LangChain4j за начинаещи](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +[![LangChain.js за начинаещи](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- -### Azure / Edge / MCP / Agents -[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +### Azure / Edge / MCP / Агенти +[![AZD за начинаещи](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Edge AI за начинаещи](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![MCP за начинаещи](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI агенти за начинаещи](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### Generative AI Series -[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) -[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) -[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) +### Серия за генеративен AI +[![Генеративен AI за начинаещи](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Генеративен AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) +[![Генеративен AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) +[![Генеративен AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- -### Core Learning -[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) -[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) -[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) -[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) -[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) -[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) +### Основно обучение +[![ML за начинаещи](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![Данни науки за начинаещи](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +[![ИИ за начинаещи](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) +[![Киберсигурност за начинаещи](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) +[![Уеб разработка за начинаещи](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![IoT за начинаещи](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) +[![XR разработка за начинаещи](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### Copilot Series -[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) -[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) +### Серия Copilot +[![Copilot за AI програмиране в екип](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot за C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) +[![Copilot приключение](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) -## Getting Help +## Получаване на помощ -If you get stuck or have any questions about building AI apps. Join fellow learners and experienced developers in discussions about MCP. It's a supportive community where questions are welcome and knowledge is shared freely. +Ако се затрудните или имате въпроси относно създаването на AI приложения, присъединете се към други учащи и опитни разработчици в дискусии по MCP. Това е подкрепяща общност, където въпросите са добре дошли и знанието се споделя свободно. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -If you have product feedback or errors while building visit: +Ако имате обратна връзка за продукта или грешки по време на разработването, посетете: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -**Отказ от отговорност**: -Този документ е преведен с помощта на AI услуга за превод [Co-op Translator](https://github.com/Azure/co-op-translator). Въпреки че се стремим към точност, моля, имайте предвид, че автоматичните преводи могат да съдържат грешки или неточности. Оригиналният документ на оригиналния език трябва да се счита за авторитетен източник. За критична информация се препоръчва професионален превод, извършен от човек. Ние не носим отговорност за никакви недоразумения или погрешни тълкувания, произтичащи от използването на този превод. +**Отказ от отговорност**: +Този документ е преведен с помощта на AI преводаческа услуга [Co-op Translator](https://github.com/Azure/co-op-translator). Въпреки че се стремим към точност, моля, имайте предвид, че автоматизираните преводи могат да съдържат грешки или неточности. Оригиналният документ на неговия роден език трябва да се счита за авторитетен източник. За критична информация се препоръчва професионален човешки превод. Ние не носим отговорност за каквито и да е недоразумения или неправилни тълкувания, произтичащи от използването на този превод. \ No newline at end of file diff --git a/translations/cs/README.md b/translations/cs/README.md index da42b600..efc97a83 100644 --- a/translations/cs/README.md +++ b/translations/cs/README.md @@ -1,44 +1,53 @@ -[![Licence GitHubu](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![Přispěvatelé GitHubu](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![Problémy GitHubu](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![Pull requesty GitHubu](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PRy vítány](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![Sledovatelé GitHubu](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![Forky GitHubu](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![Hvězdy GitHubu](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Umělá inteligence pro začátečníky - Učební plán +# Umělá inteligence pro začátečníky - Kurz -|![Sketchnote od @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.cs.png)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.cs.png)| |:---:| -| AI For Beginners - _Sketchnote od [@girlie_mac](https://twitter.com/girlie_mac)_ | - -Prozkoumejte svět **umělé inteligence** (AI) v našem 12týdenním kurzu o 24 lekcích! Zahrnuje praktické lekce, kvízy a laboratoře. Kurz je vhodný pro začátečníky a pokrývá nástroje jako TensorFlow a PyTorch, stejně jako etiku v AI +| Umělá inteligence pro začátečníky - _sketchnote od [@girlie_mac](https://twitter.com/girlie_mac)_ | +Prozkoumejte svět **umělé inteligence** (AI) s naším 12týdenním kurzem o 24 lekcích! Zahrnuje praktické lekce, kvízy a laboratoře. Kurz je přívětivý pro začátečníky a pokrývá nástroje jako TensorFlow a PyTorch, stejně jako etiku AI. ### 🌐 Vícejazyčná podpora -#### Podporováno přes GitHub Action (automatizováno a vždy aktuální) +#### Podporováno přes GitHub Action (automatické a vždy aktuální) -[Arabština](../ar/README.md) | [Bengálština](../bn/README.md) | [Bulharština](../bg/README.md) | [Barmština (Myanmar)](../my/README.md) | [Čínština (zjednodušená)](../zh/README.md) | [Čínština (tradiční, Hongkong)](../hk/README.md) | [Čínština (tradiční, Macau)](../mo/README.md) | [Čínština (tradiční, Taiwan)](../tw/README.md) | [Chorvatština](../hr/README.md) | [Čeština](./README.md) | [Dánština](../da/README.md) | [Nizozemština](../nl/README.md) | [Estonština](../et/README.md) | [Finština](../fi/README.md) | [Francouzština](../fr/README.md) | [Němčina](../de/README.md) | [Řečtina](../el/README.md) | [Hebrejština](../he/README.md) | [Hindština](../hi/README.md) | [Maďarština](../hu/README.md) | [Indonéština](../id/README.md) | [Italština](../it/README.md) | [Japonština](../ja/README.md) | [Kannadština](../kn/README.md) | [Korejština](../ko/README.md) | [Litevština](../lt/README.md) | [Malajština](../ms/README.md) | [Malajálamština](../ml/README.md) | [Maráthština](../mr/README.md) | [Nepálština](../ne/README.md) | [Nigerijský pidžin](../pcm/README.md) | [Norština](../no/README.md) | [Perština (Farsi)](../fa/README.md) | [Polština](../pl/README.md) | [Portugalština (Brazílie)](../br/README.md) | [Portugalština (Portugalsko)](../pt/README.md) | [Paňdžábština (Gurmukhí)](../pa/README.md) | [Rumunština](../ro/README.md) | [Ruština](../ru/README.md) | [Srbština (cyrilice)](../sr/README.md) | [Slovenština](../sk/README.md) | [Slovinština](../sl/README.md) | [Španělština](../es/README.md) | [Svahilština](../sw/README.md) | [Švédština](../sv/README.md) | [Tagalog (filipínština)](../tl/README.md) | [Tamilština](../ta/README.md) | [Telugština](../te/README.md) | [Thajština](../th/README.md) | [Turečtina](../tr/README.md) | [Ukrajinština](../uk/README.md) | [Urdština](../ur/README.md) | [Vietnamština](../vi/README.md) +[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](./README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) + +> **Dáváte přednost lokálnímu klonování?** + +> Toto repozitář obsahuje přes 50 jazykových překladů, což výrazně zvyšuje velikost stahování. Pro klonování bez překladů použijte sparse checkout: +> ```bash +> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git +> cd AI-For-Beginners +> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' +> ``` +> Tím získáte vše, co potřebujete ke splnění kurzu, s výrazně rychlejším stažením. -**Pokud si přejete podporu dalších překladů, jsou jazyky uvedeny [zde](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Pokud si přejete podporu dalších jazyků, jsou uvedeny [zde](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Přidejte se ke komunitě [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) @@ -47,117 +56,117 @@ Prozkoumejte svět **umělé inteligence** (AI) v našem 12týdenním kurzu o 24 **[Myšlenková mapa kurzu](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -V tomto učebním plánu se naučíte: +V tomto kurzu se naučíte: * Různé přístupy k umělé inteligenci, včetně „starého dobrého“ symbolického přístupu s **reprezentací znalostí** a odvozováním ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Neuronové sítě** a **hluboké učení**, které jsou jádrem moderní AI. Ilustrujeme pojmy za těmito důležitými tématy pomocí kódu ve dvou z nejpopulárnějších frameworků - [TensorFlow](http://Tensorflow.org) a [PyTorch](http://pytorch.org). -* **Neuronové architektury** pro práci s obrázky a textem. Pokryjeme nedávné modely, ale můžeme být poněkud za nejnovějším stavem techniky. -* Méně populární přístupy k AI, jako **genetické algoritmy** a **multiagentní systémy**. +* **Neuronové sítě** a **hluboké učení**, které jsou základem moderní AI. Ukážeme si koncepty těchto důležitých témat pomocí kódu ve dvou nejpopulárnějších frameworcích - [TensorFlow](http://Tensorflow.org) a [PyTorch](http://pytorch.org). +* **Neuronové architektury** pro práci s obrázky a textem. Pokryjeme nedávné modely, i když možná ne zcela nejmodernější. +* Méně populární přístupy AI, jako jsou **genetické algoritmy** a **multiagentní systémy**. -Co v tomto učebním plánu nezahrnujeme: +Co tento kurz nezahrnuje: -> [Najděte všechny dodatečné zdroje pro tento kurz v naší sbírce Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Najděte všechny doplňující zdroje pro tento kurz v naší kolekci Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Podnikové případy použití **AI v podnikání**. Zvažte absolvování výukové cesty [Úvod do AI pro obchodní uživatele](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn, nebo [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), vyvinutou ve spolupráci s [INSEAD](https://www.insead.edu/). -* **Klasické strojové učení**, které je dobře popsáno v našem [Učebním plánu Strojového učení pro začátečníky](http://github.com/Microsoft/ML-for-Beginners). -* Praktické AI aplikace vytvořené pomocí **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Doporučujeme začít moduly Microsoft Learn pro [počítačové vidění](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [zpracování přirozeného jazyka](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** a další. -* Konkrétní ML **cloudové frameworky**, jako [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), nebo [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Zvažte použití výukových cest [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) a [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **Konverzační AI** a **chatboti**. Existuje samostatná výuková cesta [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), a také se můžete odkazovat na [tento blogový příspěvek](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) pro další informace. -* **Hluboká matematika** stojící za hlubokým učením. Doporučujeme knihu [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) od Ian Goodfellow, Yoshua Bengio a Aaron Courville, která je také dostupná online na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Obchodní případy použití **AI v byznysu**. Zvažte absolvování cesty učení [Úvod do AI pro uživatele byznysu](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn nebo [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), vyvinuté ve spolupráci s [INSEAD](https://www.insead.edu/). +* **Klasické strojové učení**, které je dobře popsané v našem [kurzu strojového učení pro začátečníky](http://github.com/Microsoft/ML-for-Beginners). +* Praktické AI aplikace založené na **[Kognitivních službách](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Doporučujeme začít moduly Microsoft Learn pro [počítačové vidění](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [zpracování přirozeného jazyka](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativní AI s Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** a další. +* Specifické ML **cloudové frameworky**, jako [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) nebo [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Zvažte použití cest učení [Tvorba a provoz strojového učení s Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) a [Tvorba a provoz strojového učení s Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Konverzační AI** a **chatboti**. Existuje samostatná cesta učení [Vytváření konverzačních AI řešení](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) a můžete se také podívat na [tento blogový příspěvek](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) pro více podrobností. +* **Hluboká matematika** za hlubokým učením. Doporučujeme knihu [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) od Ian Goodfellowa, Yoshuy Bengia a Aarona Courvilla, která je dostupná také online na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Pro jemný úvod do témat _AI v cloudu_ můžete zvážit absolvování výukové cesty [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +Pro jemný úvod do témat _AI v cloudu_ můžete absolvovat cestu učení [Začínáme s umělou inteligencí na Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Obsah | | Odkaz na lekci | PyTorch/Keras/TensorFlow | Laboratoř | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Nastavení kurzu](./lessons/0-course-setup/setup.md) | [Nastavení vývojového prostředí](./lessons/0-course-setup/how-to-run.md) | | +| 0 | [Nastavení kurzu](./lessons/0-course-setup/setup.md) | [Nastavte své vývojové prostředí](./lessons/0-course-setup/how-to-run.md) | | | I | [**Úvod do AI**](./lessons/1-Intro/README.md) | | | | 01 | [Úvod a historie AI](./lessons/1-Intro/README.md) | - | - | | II | **Symbolická AI** | -| 02 | [Reprezentace znalostí a expertní systémy](./lessons/2-Symbolic/README.md) | [Expertní systémy](./lessons/2-Symbolic/Animals.ipynb) / [Ontologie](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptový graf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| 02 | [Reprezentace znalostí a expertní systémy](./lessons/2-Symbolic/README.md) | [Expertní systémy](./lessons/2-Symbolic/Animals.ipynb) / [Ontologie](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptuální graf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Úvod do neuronových sítí**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Cvičení](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Vícevrstvý perceptron a vytvoření vlastního frameworku](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Cvičení](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Úvod do frameworků (PyTorch/TensorFlow) a přeučení](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Cvičení](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Počítačové vidění**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Prozkoumejte počítačové vidění na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Úvod do počítačového vidění. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Cvičení](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Konvoluční neuronové sítě](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Architektury CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Cvičení](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Předtrénované sítě a transfer learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Tréninkové triky](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Cvičení](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [Vícevrstvý perceptron a vytvoření vlastního frameworku](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Úvod do frameworků (PyTorch/TensorFlow) a přeučení](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Počítačové vidění**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Prozkoumat počítačové vidění na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [Úvod do počítačového vidění. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [Konvoluční neuronové sítě](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Architektury CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Předtrénované sítě a transfer learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) a [Triky pro trénování](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Autoenkodéry a VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Generativní adversariální sítě & přenos uměleckého stylu](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [Detekce objektů](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Cvičení](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 10 | [Generativní protivné sítě a přenos uměleckého stylu](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [Detekce objektů](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Sémantická segmentace. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | -| V | [**Zpracování přirozeného jazyka**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Prozkoumejte zpracování přirozeného jazyka na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| V | [**Zpracování přirozeného jazyka**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Prozkoumat zpracování přirozeného jazyka na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| | 13 | [Reprezentace textu. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | | 14 | [Sémantické vektorové reprezentace slov. Word2Vec a GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [Jazykové modelování. Trénování vlastních embeddingů](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Cvičení](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 15 | [Modelování jazyka. Trénování vlastních vektorových reprezentací](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [Rekurentní neuronové sítě](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | -| 17 | [Generativní rekurentní sítě](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Cvičení](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | -| 18 | [Transformery. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [Rozpoznávání pojmenovaných entit](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Cvičení](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Velké jazykové modely, programování promptů a few-shot úlohy](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **Další techniky AI** || | +| 17 | [Generativní rekurentní sítě](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 18 | [Transformátory. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | +| 19 | [Rozpoznávání pojmenovaných entit](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Velké jazykové modely, promptování a few-shot úlohy](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **Další AI techniky** || | | 21 | [Genetické algoritmy](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Hluboké posilované učení](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Cvičení](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [Systémy více agentů](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **Etika AI** | | | -| 24 | [Etika AI a odpovědné AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Responsible AI Principles](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| 22 | [Hluboké zesilovací učení](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [Multiagentní systémy](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| VII | **AI etika** | | | +| 24 | [Etika AI a odpovědné AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principy odpovědného AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Doplňky** | | | | 25 | [Multimodální sítě, CLIP a VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Každá lekce obsahuje -* Materiál k předčtení -* Spustitelné Jupyter Notebooky, které jsou často specifické pro framework (**PyTorch** nebo **TensorFlow**). Spustitelný notebook také obsahuje spoustu teoretického materiálu, takže pro pochopení tématu je třeba projít alespoň jednu verzi notebooku (buď PyTorch nebo TensorFlow). -* **Cvičení** dostupná u některých témat, která vám dávají příležitost vyzkoušet aplikaci naučeného materiálu na konkrétní problém. -* Některé části obsahují odkazy na moduly [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), které pokrývají související témata. +* Materiály pro předčtení +* Spustitelné Jupyter notebooky, které jsou často specifické pro daný framework (**PyTorch** nebo **TensorFlow**). Spustitelný notebook také obsahuje spoustu teoretického materiálu, takže pro pochopení tématu je potřeba projít alespoň jednu verzi notebooku (PyTorch nebo TensorFlow). +* **Laboratoře** dostupné u některých témat, které vám dávají příležitost vyzkoušet si aplikovat naučený materiál na konkrétní problém. +* Některé sekce obsahují odkazy na moduly [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), jež pokrývají související témata. ## Začínáme -### 🎯 Jste v AI nováček? Začněte zde! +### 🎯 Nový v AI? Začněte tady! -Pokud jste v AI úplný začátečník a chcete rychlé praktické příklady, podívejte se na naše [**Příklady pro začátečníky**](./examples/README.md)! Ty obsahují: +Pokud jste v AI úplný začátečník a chcete rychlé, praktické příklady, podívejte se na naše [**příklady pro začátečníky**](./examples/README.md)! Zahrnují: - 🌟 **Hello AI World** - Váš první AI program (rozpoznávání vzorů) -- 🧠 **Jednoduchá neuronová síť** - Vytvořte neuronovou síť od nuly +- 🧠 **Jednoduchá neuronová síť** - Postavte neuronovou síť od začátku - 🖼️ **Klasifikátor obrázků** - Klasifikujte obrázky s podrobnými komentáři -- 💬 **Sentiment textu** - Analyzovat pozitivní/negativní text +- 💬 **Sentiment textu** - Analyzujte pozitivní/negativní text -Tyto příklady jsou navrženy tak, aby vám pomohly porozumět konceptům AI před ponořením se do celého kurikula. +Tyto příklady jsou navrženy tak, aby vám pomohly pochopit koncepty AI, než se pustíte do celého kurikula. ### 📚 Nastavení celého kurikula -- Vytvořili jsme [lekci pro nastavení](./lessons/0-course-setup/setup.md), která vám pomůže s nastavením vývojového prostředí. - Pro pedagogy jsme také vytvořili [lekci nastavení kurikula](./lessons/0-course-setup/for-teachers.md)! +- Vytvořili jsme [lekci pro nastavení](./lessons/0-course-setup/setup.md), která vám pomůže s nastavením vývojového prostředí. - Pro učitele jsme také vytvořili [lekci pro nastavení kurikula](./lessons/0-course-setup/for-teachers.md)! - Jak [spustit kód ve VSCode nebo Codepace](./lessons/0-course-setup/how-to-run.md) Postupujte podle těchto kroků: -Fork the Repository: Klikněte na tlačítko "Fork" v pravém horním rohu této stránky. +Forkujte repozitář: Klikněte na tlačítko „Fork“ v pravém horním rohu této stránky. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Klonujte repozitář: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Nezapomeňte tomuto repozitáři udělit hvězdičku (🌟), aby ho bylo později snazší najít. +Nezapomeňte si tento repozitář označit hvězdičkou (🌟), abyste jej později snáze našli. ## Seznamte se s ostatními studenty -Připojte se k našemu [oficiálnímu Discord serveru AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), abyste se setkali a navázali kontakty s ostatními studenty tohoto kurzu a získali podporu. +Připojte se k našemu [oficiálnímu serveru AI na Discordu](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), kde se můžete setkat a propojit s ostatními studenty tohoto kurzu a získat podporu. -Pokud máte zpětnou vazbu k produktu nebo dotazy během vývoje, navštivte náš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +Pokud máte zpětnou vazbu k produktu nebo otázky při tvorbě, navštivte náš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum). -## Kvízy +## Kvízy -> **Poznámka o kvízech**: Všechny kvízy jsou umístěny ve složce Quiz-app v etc\quiz-app, nebo [Online zde](https://ff-quizzes.netlify.app/) Jsou propojeny z lekcí; aplikaci kvízů lze spustit lokálně nebo nasadit do Azure; postupujte podle instrukcí ve složce `quiz-app`. Postupně jsou lokalizovány. +> **Poznámka o kvízech**: Všechny kvízy jsou obsaženy ve složce Quiz-app v adresáři etc\quiz-app, nebo [Online zde](https://ff-quizzes.netlify.app/). Jsou propojené z lekcí, kvízovou aplikaci lze spustit lokálně nebo nasadit na Azure; postupujte podle instrukcí ve složce `quiz-app`. Postupně jsou lokalizovány. -## Potřebujeme pomoc +## Poptáváme pomoc -Máte návrhy nebo jste našli překlepy či chyby v kódu? Otevřete issue nebo vytvořte pull request. +Máte návrhy nebo jste našli překlepy či chyby v kódu? Vytvořte issue nebo pull request. -## Zvláštní poděkování +## Velké díky * **✍️ Hlavní autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Ilustrátorka sketchnotů:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **🎨 Ilustrátor sketchnotů:** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ Tvůrce kvízů:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) * **🙏 Hlavní přispěvatelé:** [Evgenii Pishchik](https://github.com/Pe4enIks) @@ -176,11 +185,11 @@ Náš tým vytváří i další kurikula! Podívejte se na: [![AZD pro začátečníky](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) [![Edge AI pro začátečníky](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) [![MCP pro začátečníky](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![AI Agenti pro začátečníky](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI Agents pro začátečníky](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### Série Generativního AI +### Série Generativní AI [![Generativní AI pro začátečníky](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) [![Generativní AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) [![Generativní AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) @@ -188,11 +197,11 @@ Náš tým vytváří i další kurikula! Podívejte se na: --- -### Základní výuka -[![Strojové učení pro začátečníky](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![Datová věda pro začátečníky](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +### Základní vzdělávání +[![ML pro začátečníky](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![Data Science pro začátečníky](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) [![AI pro začátečníky](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) -[![Kyberbezpečnost pro začátečníky](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) +[![Kybernetická bezpečnost pro začátečníky](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) [![Webový vývoj pro začátečníky](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) [![IoT pro začátečníky](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) [![Vývoj XR pro začátečníky](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) @@ -200,24 +209,24 @@ Náš tým vytváří i další kurikula! Podívejte se na: --- ### Série Copilot -[![Copilot pro párové programování s AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot pro AI párové programování](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) [![Copilot pro C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) +[![Dobrodružství Copilota](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) ## Získání pomoci -Pokud se zaseknete nebo máte dotazy ohledně vývoje AI aplikací, připojte se ke komunitě ostatních studentů a zkušených vývojářů v diskuzích o MCP. Je to podpůrná komunita, kde jsou otázky vítány a znalosti se sdílejí volně. +Pokud se zaseknete nebo máte jakékoliv dotazy ohledně tvorby AI aplikací, připojte se ke komunitě studentů a zkušených vývojářů v diskuzích o MCP. Jedná se o podpůrnou komunitu, kde jsou otázky vítány a znalosti sdíleny svobodně. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Pokud máte zpětnou vazbu k produktu nebo narazíte na chyby při vývoji, navštivte: +Pokud máte zpětnou vazbu k produktu nebo chyby při tvorbě, navštivte: -[![Vývojářské fórum Microsoft Foundry](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) +[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -Prohlášení o vyloučení odpovědnosti: -Tento dokument byl přeložen pomocí AI překladatelské služby [Co-op Translator](https://github.com/Azure/co-op-translator). I když se snažíme o přesnost, mějte prosím na paměti, že automatické překlady mohou obsahovat chyby nebo nepřesnosti. Originální dokument v jeho původním jazyce by měl být považován za závazný zdroj. Pro zásadní informace se doporučuje profesionální lidský překlad. Nejsme odpovědní za žádná nedorozumění ani chybné výklady vzniklé v důsledku použití tohoto překladu. +**Prohlášení o omezení odpovědnosti**: +Tento dokument byl přeložen pomocí AI překladatelské služby [Co-op Translator](https://github.com/Azure/co-op-translator). Přestože usilujeme o přesnost, mějte prosím na paměti, že automatické překlady mohou obsahovat chyby nebo nepřesnosti. Původní dokument v jeho mateřském jazyce by měl být považován za autoritativní zdroj. Pro kritické informace je doporučen profesionální lidský překlad. Nejsme odpovědní za jakákoliv nedorozumění nebo nesprávné interpretace vyplývající z použití tohoto překladu. \ No newline at end of file diff --git a/translations/hu/README.md b/translations/hu/README.md index 21ef0d0c..e6ca1125 100644 --- a/translations/hu/README.md +++ b/translations/hu/README.md @@ -1,222 +1,232 @@ -[![GitHub licenc](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![GitHub közreműködők](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![GitHub issue-ok](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![GitHub pull-kérések](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PR-ek üdvözölve](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![GitHub követők](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![GitHub forkok](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![GitHub csillagok](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Mesterséges intelligencia kezdőknek - Tananyag +# Mesterséges intelligencia kezdőknek – Tananyag -|![Sketchnote készítette @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.hu.png)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.hu.png)| |:---:| -| Mesterséges intelligencia kezdőknek - _Sketchnote készítette [@girlie_mac](https://twitter.com/girlie_mac)_ | +| Mesterséges intelligencia kezdőknek – _Vázlat [@girlie_mac](https://twitter.com/girlie_mac) tollából_ | -Fedezd fel a **Mesterséges Intelligencia** (MI) világát 12 hétre és 24 leckére bontott tananyagunkkal! Tartalmaz gyakorlati leckéket, kvízeket és laborokat. A tananyag kezdőbarát, és olyan eszközöket ismertet, mint a TensorFlow és a PyTorch, valamint az MI etikai vonatkozásait is. +Fedezd fel a **mesterséges intelligencia** (AI) világát 12 hét, 24 lecke alatti tananyagunkkal! Gyakorlati leckék, kvízek és laborfeladatok várnak rád. A tananyag kezdők számára is alkalmas, és olyan eszközöket fed le, mint a TensorFlow és a PyTorch, valamint az AI etikai kérdéseit is érinti. ### 🌐 Többnyelvű támogatás -#### Támogatott GitHub Action által (Automatizált és mindig naprakész) +#### GitHub Action segítségével támogatott (automatikus és mindig naprakész) [Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](./README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) + +> **Inkább helyben klónoznád?** + +> Ez a tároló több mint 50 nyelvű fordítást tartalmaz, ami jelentősen megnöveli a letöltési méretet. Ha fordítások nélkül szeretnéd klónozni, használd a sparse checkoutot: +> ```bash +> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git +> cd AI-For-Beginners +> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' +> ``` +> Ez mindent megad, ami a tananyag elvégzéséhez szükséges, sokkal gyorsabb letöltéssel. -**Ha további fordítási nyelveket szeretnél támogatni, azok listája [itt található](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Ha további nyelvek támogatását szeretnéd, ezek listája [itt található](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Csatlakozz a közösséghez [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## Mit fogsz megtanulni +## Mit fogsz tanulni -**[A kurzus gondolattérképe](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[A tanfolyam gondolattérképe](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** Ebben a tananyagban megtanulod: -* A mesterséges intelligencia különböző megközelítéseit, beleértve a "régi jó" szimbolikus megközelítést a **tudásreprezentációval** és következtetéssel ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Neurális hálózatokat** és a **mélytanulást**, amelyek a modern MI magját képezik. A fontos fogalmakat két népszerű keretrendszer — [TensorFlow](http://Tensorflow.org) és [PyTorch](http://pytorch.org) — kódpéldáin keresztül szemléltetjük. -* **Neurális architektúrákat** képek és szöveg feldolgozásához. Lefedjük a közelmúltbeli modelleket, bár előfordulhat, hogy nem mindig a legfrissebb állapotot tükrözik. -* Kevésbé népszerű MI-megközelítéseket, mint a **genetikus algoritmusok** és a **többügynökös rendszerek**. +* A mesterséges intelligencia különböző megközelítéseit, beleértve a "régi jó" szimbolikus módszert a **tudásreprezentációval** és a következtetéssel ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* A **neurális hálózatokat** és a **mélytanulást**, amelyek a modern MI alapját képezik. Ezeknek az alapelveit a két legnépszerűbb keretrendszerben, a [TensorFlow](http://Tensorflow.org) és [PyTorch](http://pytorch.org) segítségével mutatjuk be. +* **Neurális architektúrákat** képek és szövegek feldolgozására. Bemutatunk néhány friss modellt, bár az állapot-of-the-art lehet, hogy nem teljes körű. +* Kevésbé népszerű MI megközelítéseket, mint a **genetikus algoritmusok** és a **többügynökös rendszerek**. -Mit nem fogunk lefedni ebben a tananyagban: +A tananyag nem foglalkozik: -> [Minden további forrást erre a kurzusra megtalálsz a Microsoft Learn gyűjteményünkben](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Minden további forrást megtalálsz a kurzus Microsoft Learn gyűjteményében](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Az **MI üzleti** alkalmazásainak üzleti eseteit. Érdemes elvégezni a Microsoft Learn-en található [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) tanulási utat, vagy megtekinteni az [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) anyagát, amelyet az [INSEAD](https://www.insead.edu/) együttműködésével fejlesztettek ki. -* A **klasszikus gépi tanulást**, amely részletesen szerepel a [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) anyagunkban. -* Gyakorlati MI-alkalmazásokat, amelyeket a **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** szolgáltatásokkal építenek. Ehhez ajánljuk, hogy kezdd a Microsoft Learn moduljaival a [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), a [természetes nyelvfeldolgozás](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** és más témakörökben. -* Specifikus ML **felhőalapú keretrendszereket**, mint például [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), vagy [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Érdemes megvizsgálni a [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) és a [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) tanulási útvonalakat. -* **Konverzációs MI**-t és **chatbotokat**. Van külön [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) tanulási út, és további részletekért hivatkozhatsz [erre a blogbejegyzésre](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/). -* A mélytanulás mögötti **mély matematika** részleteit. Ehhez ajánljuk Ian Goodfellow, Yoshua Bengio és Aaron Courville által írt [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) könyvet, amely online is elérhető a [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) címen. +* Az **üzleti felhasználás eseteit** az MI-ben. Érdemes áttekinteni a [Bevezetés az üzleti felhasználók MI-jéhez](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) tananyagot a Microsoft Learn-en, vagy az [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) kurzust, amelyet az [INSEAD](https://www.insead.edu/) együttműködésével fejlesztettek. +* A **klasszikus gépi tanulást**, amely jól le van írva a [Gépi tanulás kezdőknek](http://github.com/Microsoft/ML-for-Beginners) tananyagunkban. +* A gyakorlati MI alkalmazásokat, amelyek **[Kognitív szolgáltatások](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** használatával készültek. Ehhez ajánljuk a Microsoft Learn moduljait: [látás](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [természetes nyelvfeldolgozás](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatív MI az Azure OpenAI Service szolgáltatással](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** és mások. +* Egyedi gépi tanulási **felhő-keretrendszereket**, mint például az [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), vagy az [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Érdemes a [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) és [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) tananyagokat használni. +* **Konverzációs MI** és **csevegő botok**. Ehhez külön [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) tananyag áll rendelkezésre, valamint részletesebben [ez a blogbejegyzés](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) is hasznos lehet. +* A mélytanulás mögötti **mély matematika**. Ehhez ajánljuk Ian Goodfellow, Yoshua Bengio és Aaron Courville [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) című könyvét, amely online is elérhető a [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) címen. -Az _AI a felhőben_ témakörök könnyed bevezetéséhez érdemes lehet elvégezni a [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) Learning Path-et. +Az _AI a felhőben_ témák lágy bevezetéséhez ajánljuk a [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) tananyagot. # Tartalom -| | Lecke hivatkozás | PyTorch/Keras/TensorFlow | Labor | +| | Tananyag link | PyTorch/Keras/TensorFlow | Labor | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Kurzus beállítása](./lessons/0-course-setup/setup.md) | [Fejlesztési környezet beállítása](./lessons/0-course-setup/how-to-run.md) | | -| I | [**Bevezetés a mesterséges intelligenciába**](./lessons/1-Intro/README.md) | | | +| 0 | [Tanfolyam beállítása](./lessons/0-course-setup/setup.md) | [Fejlesztői környezet beállítása](./lessons/0-course-setup/how-to-run.md) | | +| I | [**Bevezetés az MI-be**](./lessons/1-Intro/README.md) | | | | 01 | [Bevezetés és az MI története](./lessons/1-Intro/README.md) | - | - | | II | **Szimbolikus MI** | -| 02 | [Tudásreprezentáció és szakértői rendszerek](./lessons/2-Symbolic/README.md) | [Szakértői rendszerek](./lessons/2-Symbolic/Animals.ipynb) / [Ontológia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Fogalomgráf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**Bevezetés a neurális hálózatokhoz**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Jegyzetfüzet](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Labor](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Többrétegű perceptron és saját keretrendszer létrehozása](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Jegyzetfüzet](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Labor](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 02 | [Tudásreprezentáció és szakértői rendszerek](./lessons/2-Symbolic/README.md) | [Szakértői rendszerek](./lessons/2-Symbolic/Animals.ipynb) / [Ontológia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Fogalmi gráf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**Bevezetés a neurális hálózatokba**](./lessons/3-NeuralNetworks/README.md) ||| +| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Füzet](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Labor](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [Többrétegű perceptron és saját keretrendszer kialakítása](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Füzet](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Labor](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | | 05 | [Bevezetés a keretrendszerekbe (PyTorch/TensorFlow) és túltanulás](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labor](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | | IV | [**Számítógépes látás**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Fedezd fel a számítógépes látást a Microsoft Azure-on](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Bevezetés a számítógépes látásba. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Jegyzetfüzet](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Labor](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 06 | [Bevezetés a számítógépes látásba. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Füzet](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Labor](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | | 07 | [Konvolúciós neurális hálózatok](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN architektúrák](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Labor](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Előre betanított hálózatok és átviteli tanulás](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Tanítási trükkök](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labor](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [Autoenkóderek és VAE-k](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Generatív ellenséges hálózatok és művészi stílusátvitel](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [Objektumészlelés](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Labor](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 08 | [Előre betanított hálózatok és transfer learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) és [Tréning trükkök](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labor](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [Autoenkódolók és VAE-k](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | +| 10 | [Generatív ellenfél hálózatok és művészi stílus átvitel](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [Objektumfelismerés](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Labor](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Szemantikus szegmentálás. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | -| V | [**Természetes nyelvfeldolgozás**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Fedezd fel a természetes nyelvfeldolgozást a Microsoft Azure-on](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Szöveg reprezentáció. BoW/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | +| V | [**Természetes nyelv feldolgozás**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Fedezd fel a természetes nyelv feldolgozást a Microsoft Azure-on](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [Szöveg reprezentáció. Bag of Words/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | | 14 | [Szemantikus szóbeágyazások. Word2Vec és GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [Nyelvi modellezés. Saját beágyazások tanítása](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Labor](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [Rekurens neurális hálózatok](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | -| 17 | [Generatív rekurens hálózatok](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Labor](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | -| 18 | [Transformerek. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [Név szerinti entitásfelismerés](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Labor](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Nagy nyelvi modellek, prompt-programozás és few-shot feladatok](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| 15 | [Nyelvi modellezés. Saját beágyazások betanítása](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Labor](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [Rekurzív neurális hálózatok](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | +| 17 | [Generatív rekurzív hálózatok](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Labor](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 18 | [Transformer modellek. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | +| 19 | [Névazonosító felismertetés](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Labor](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Nagy nyelvi modellek, prompt programozás és kevés példa alapján végzett feladatok](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Egyéb MI technikák** || | -| 21 | [Genetikus algoritmusok](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Jegyzetfüzet](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 21 | [Genetikus algoritmusok](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Füzet](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | | 22 | [Mély megerősítéses tanulás](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Labor](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [Többügynökös rendszerek](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| 23 | [Több ügynökös rendszerek](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **MI etika** | | | -| 24 | [MI-etika és a felelős MI](./lessons/7-Ethics/README.md) | [Microsoft Learn: A felelős MI alapelvei](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| 24 | [MI etika és felelős MI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Felelős MI alapelvek](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Kiegészítők** | | | -| 25 | [Többmodális hálózatok, CLIP és VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Jegyzetfüzet](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 25 | [Többmodalitású hálózatok, CLIP és VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Füzet](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | -## Minden lecke tartalmaz +## Minden leckében található -* Előolvasási anyag -* Futtatható Jupyter jegyzetfüzetek, amelyek gyakran adott keretrendszerhez kötöttek (**PyTorch** vagy **TensorFlow**). A futtatható jegyzetfüzet sok elméleti anyagot is tartalmaz, ezért a téma megértéséhez legalább az egyik verziót (akár PyTorch, akár TensorFlow) végig kell nézni. -* **Laborok** bizonyos témákhoz elérhetők, amelyek lehetőséget adnak, hogy kipróbáld a tanult anyag alkalmazását egy konkrét problémára. -* Néhány szakasz tartalmaz linkeket a [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modulokra, amelyek kapcsolódó témákat fednek le. +* Előzetes olvasnivaló +* Futatható Jupyter füzetek, amelyek gyakran a keretrendszerhez kötöttek (**PyTorch** vagy **TensorFlow**). A futtatható füzet sok elméleti anyagot is tartalmaz, ezért a téma megértéséhez legalább az egyik (PyTorch vagy TensorFlow) verziót végig kell nézni. +* Egyes témákhoz elérhetőek **laborok**, amelyek lehetőséget adnak az elsajátított anyag konkrét problémán való kipróbálására. +* Néhány szakasz tartalmaz linkeket a [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moduljaihoz, amelyek kapcsolódó témákat fednek le. -## Első lépések +## Kezdés -### 🎯 Új vagy az MI-ben? Kezdd itt! +### 🎯 Újonc az MI-ben? Kezdd itt! -Ha teljesen új vagy az MI területén és gyors, gyakorlati példákat szeretnél, nézd meg a [**Kezdőknek szóló példákat**](./examples/README.md)! Ezek tartalmazzák: +Ha teljesen új vagy az MI-ben és gyors, gyakorlatias példákra vágysz, nézd meg [**Kezdőbarát példáinkat**](./examples/README.md)! Ezek a következők: -- 🌟 **Hello AI World** - Az első MI programod (mintafelismerés) -- 🧠 **Egyszerű neurális hálózat** - Építs egy neurális hálózatot a nulláról -- 🖼️ **Képosztályozó** - Képeket osztályoz részletes magyarázatokkal -- 💬 **Szöveg hangulata** - Pozitív/negatív szöveg elemzése +- 🌟 **Hello MI Világ** - az első MI programod (mintafelismerés) +- 🧠 **Egyszerű neurális hálózat** - Hálót építesz a semmiből +- 🖼️ **Kép osztályozó** - Képek osztályozása részletes magyarázatokkal +- 💬 **Szövegérzelem** - Pozitív/negatív szöveg elemzése -These examples are designed to help you understand AI concepts before diving into the full curriculum. +Ezek a példák segítenek megérteni az MI-koncepciókat, mielőtt belevágnál a teljes tananyagba. ### 📚 Teljes tananyag beállítása -- Létrehoztunk egy [beállító leckét](./lessons/0-course-setup/setup.md), amely segít fejlesztői környezeted beállításában. - Oktatóknak is készítettünk egy [tananyag-beállító leckét](./lessons/0-course-setup/for-teachers.md)! -- Hogyan futtathatod a kódot egy VSCode-ban vagy egy Codepace-ben: [Run the code in a VSCode or a Codepace](./lessons/0-course-setup/how-to-run.md) +- Létrehoztunk egy [beállítási leckét](./lessons/0-course-setup/setup.md), hogy segítsünk a fejlesztői környezeted beállításában. - Oktatók számára egy [tananyagbeállítási leckét](./lessons/0-course-setup/for-teachers.md) is készítettünk! +- Hogyan [futtasd a kódot VSCode-ban vagy Codepace-ben](./lessons/0-course-setup/how-to-run.md) -Follow these steps: +Kövesd ezeket a lépéseket: -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +Forkold le a tárhelyet: Kattints a "Fork" gombra ennek az oldalnak a jobb felső sarkában. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Klonozd le a tárhelyet: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +Ne felejtsd el megjelölni (🌟) ezt a repót, hogy később könnyebben megtaláld. -## Meet other Learners +## Ismerkedj meg más tanulókkal -Join our [official AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) to meet and network with other learners taking this course and get support. +Csatlakozz a [hivatalos AI Discord szerverünkhöz](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), hogy találkozz és kapcsolatokat építs más tanulókkal, akik ezt a tanfolyamot végzik, és kapj támogatást. -If you have product feedback or questions whilst building visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +Ha termék visszajelzésed vagy kérdésed van a fejlesztés során, látogass el az [Azure AI Foundry fejlesztői fórumra](https://aka.ms/foundry/forum) -## Quizzes +## Kvízek -> **Megjegyzés a kvízekről**: All quizzes are contained in the Quiz-app folder in etc\quiz-app, or [Online itt](https://ff-quizzes.netlify.app/) They are linked from within the lessons the quiz app can be run locally or deployed to Azure; follow the instruction in the `quiz-app` folder. They are gradually being localized. +> **Megjegyzés a kvízekről**: Minden kvíz az etc\quiz-app mappában, a Quiz-app könyvtárban található, vagy [innen online](https://ff-quizzes.netlify.app/). A leckékből érhetők el, a kvíz alkalmazás helyileg futtatható vagy Azure-re telepíthető; kövesd az útmutatót a `quiz-app` mappában. Fokozatosan lokalizálásra kerülnek. -## Help Wanted +## Segítséget Kérünk -Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request. +Van javaslatod, vagy találtál helyesírási vagy kódhibákat? Nyiss hibajegyet vagy készíts pull kérést. -## Special Thanks +## Külön Köszönet * **✍️ Fő szerző:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Szerkesztő:** [Jen Looper](https://twitter.com/jenlooper), PhD * **🎨 Sketchnote illusztrátor:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ Kvíz készítő:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Fő közreműködők:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **✅ Kvízkészítő:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 Főbb közreműködők:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Other Curricula +## Egyéb tananyagok -Our team produces other curricula! Check out: +Csapatunk más tananyagokat is készít! Nézd meg: ### LangChain -[![LangChain4j kezdőknek](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) -[![LangChain.js kezdőknek](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) +[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- -### Azure / Edge / MCP / Ágensek -[![AZD kezdőknek](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Edge AI kezdőknek](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![MCP kezdőknek](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![AI ágensek kezdőknek](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +### Azure / Edge / MCP / Ügynökök +[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### Generatív AI sorozat -[![Generatív AI kezdőknek](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Generatív AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) -[![Generatív AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) -[![Generatív AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) +### Generatív MI sorozat +[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) +[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) +[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- -### Alapozó tananyag -[![Gépi tanulás kezdőknek](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![Adattudomány kezdőknek](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) -[![Mesterséges intelligencia kezdőknek](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) -[![Kiberbiztonság kezdőknek](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) -[![Webfejlesztés kezdőknek](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) -[![IoT kezdőknek](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) -[![XR fejlesztés kezdőknek](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) +### Alaptanulás +[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) +[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) +[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) +[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- ### Copilot sorozat -[![Copilot az AI páros programozáshoz](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) -[![Copilot C#/.NET-hez](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![Copilot kaland](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) +[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) +[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) -## Getting Help +## Segítségkérés -If you get stuck or have any questions about building AI apps. Join fellow learners and experienced developers in discussions about MCP. It's a supportive community where questions are welcome and knowledge is shared freely. +Ha elakadsz, vagy kérdésed van az MI-alkalmazások fejlesztésével kapcsolatban, csatlakozz más tanulókhoz és tapasztalt fejlesztőkhöz a MCP-ről szóló beszélgetésekben. Ez egy támogató közösség, ahol szívesen fogadják a kérdéseket és szabadon megosztják a tudást. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -If you have product feedback or errors while building visit: +Ha termék visszajelzésed vagy hibákba futsz fejlesztés közben, látogass el: -[![Microsoft Foundry Fejlesztői Fórum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) +[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -Felelősségkizárás: -Ezt a dokumentumot az [Co-op Translator](https://github.com/Azure/co-op-translator) nevű mesterséges intelligencia alapú fordító szolgáltatással fordították. Bár törekszünk a pontosságra, kérjük, vegye figyelembe, hogy az automatikus fordítás hibákat vagy pontatlanságokat tartalmazhat. Az eredeti, anyanyelvi dokumentum tekintendő a hiteles forrásnak. Fontos információk esetén szakmai, emberi fordítást javaslunk. Nem vállalunk felelősséget a fordítás használatából eredő félreértésekért vagy téves értelmezésekért. +**Jogi nyilatkozat**: +Ez a dokumentum az AI fordító szolgáltatás [Co-op Translator](https://github.com/Azure/co-op-translator) segítségével készült. Bár igyekszünk a pontosságra, kérjük, vegye figyelembe, hogy az automatikus fordítások hibákat vagy pontatlanságokat tartalmazhatnak. Az eredeti dokumentum a saját nyelvén tekintendő hivatalos forrásnak. Fontos információk esetén profi, emberi fordítást javaslunk. Nem vállalunk felelősséget a fordítás használatából eredő félreértésekért vagy félrefordításokért. \ No newline at end of file diff --git a/translations/ro/README.md b/translations/ro/README.md index 72b6f2b7..65178b33 100644 --- a/translations/ro/README.md +++ b/translations/ro/README.md @@ -1,223 +1,234 @@ -[![Licență GitHub](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![Contribuitori GitHub](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![Probleme GitHub](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![Pull requests GitHub](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PR-uri binevenite](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![Urmăritori GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![Forkuri GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![Stele GitHub](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) -[![Discord Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Inteligența Artificială pentru Începători - Un Curriculum +# Inteligență Artificială pentru Începători - Un Curriculum -|![Sketchnote de @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.ro.png)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.ro.png)| |:---:| -| AI pentru Începători - _Sketchnote de [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI For Beginners - _Sketchnote de [@girlie_mac](https://twitter.com/girlie_mac)_ | -Explorează lumea **Inteligenței Artificiale** (AI) cu curriculumul nostru de 12 săptămâni și 24 de lecții! Include lecții practice, chestionare și laboratoare. Curriculumul este prietenos pentru începători și acoperă instrumente precum TensorFlow și PyTorch, precum și etica în AI +Explorează lumea **Inteligenței Artificiale** (IA) cu curriculumul nostru de 12 săptămâni, 24 de lecții! Include lecții practice, quizuri și laboratoare. Curriculumul este prietenos pentru începători și acoperă instrumente precum TensorFlow și PyTorch, precum și etica în IA. -### 🌐 Suport multilingv +### 🌐 Suport Multilingv -#### Suportat prin GitHub Action (Automatizat și Întotdeauna Actualizat) +#### Suportat prin GitHub Action (Automatizat și Mereu Actualizat) -[Arabă](../ar/README.md) | [Bengaleză](../bn/README.md) | [Bulgară](../bg/README.md) | [Birmană (Myanmar)](../my/README.md) | [Chineză (Simplificată)](../zh/README.md) | [Chineză (Tradițională, Hong Kong)](../hk/README.md) | [Chineză (Tradițională, Macau)](../mo/README.md) | [Chineză (Tradițională, Taiwan)](../tw/README.md) | [Croată](../hr/README.md) | [Cehă](../cs/README.md) | [Daneză](../da/README.md) | [Olandeză](../nl/README.md) | [Estonă](../et/README.md) | [Finlandeză](../fi/README.md) | [Franceză](../fr/README.md) | [Germană](../de/README.md) | [Greacă](../el/README.md) | [Ebraică](../he/README.md) | [Hindi](../hi/README.md) | [Maghiară](../hu/README.md) | [Indoneziană](../id/README.md) | [Italiană](../it/README.md) | [Japoneză](../ja/README.md) | [Kannada](../kn/README.md) | [Coreeană](../ko/README.md) | [Lituaniană](../lt/README.md) | [Malaeză](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepaleză](../ne/README.md) | [Pidgin nigerian](../pcm/README.md) | [Norvegiană](../no/README.md) | [Persană (Farsi)](../fa/README.md) | [Poloneză](../pl/README.md) | [Portugheză (Brazilia)](../br/README.md) | [Portugheză (Portugalia)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Română](./README.md) | [Rusă](../ru/README.md) | [Sârbă (chirilică)](../sr/README.md) | [Slovacă](../sk/README.md) | [Slovenă](../sl/README.md) | [Spaniolă](../es/README.md) | [Swahili](../sw/README.md) | [Suedeză](../sv/README.md) | [Tagalog (Filipineză)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thailandeză](../th/README.md) | [Turcă](../tr/README.md) | [Ucraineană](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnameză](../vi/README.md) +[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](./README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) + +> **Preferi să Clonezi Local?** + +> Acest depozit include peste 50 de traduceri în limbi diferite, ceea ce crește semnificativ dimensiunea descărcării. Pentru a clona fără traduceri, folosește sparse checkout: +> ```bash +> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git +> cd AI-For-Beginners +> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' +> ``` +> Acesta îți oferă tot ce ai nevoie pentru a finaliza cursul cu o descărcare mult mai rapidă. -**If you wish to have additional translations languages supported are listed [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Dacă dorești să adaugi suport pentru alte limbi de traducere, acestea sunt listate [aici](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** -## Alăturați-vă comunității -[![Discord Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +## Alătură-te Comunității +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## Ce veți învăța +## Ce vei învăța -**[Harta mentală a cursului](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[Hartă mentală a cursului](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -În acest curriculum, veți învăța: +În acest curriculum vei învăța: -* Diferite abordări ale Inteligenței Artificiale, inclusiv abordarea simbolică "bună, veche" cu **Reprezentarea cunoștințelor** și raționament ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Rețele neuronale** și **Învățare profundă**, care sunt în centrul AI-ului modern. Vom ilustra conceptele din spatele acestor teme importante folosind cod în două dintre cele mai populare framework-uri - [TensorFlow](http://Tensorflow.org) și [PyTorch](http://pytorch.org). -* **Arhitecturi neuronale** pentru lucrul cu imagini și text. Vom acoperi modele recente, dar s-ar putea să nu acopere cele mai recente tehnologii de vârf. -* Abordări AI mai puțin populare, precum **Algoritmi genetici** și **Sisteme multi-agent**. +* Diferite abordări ale Inteligenței Artificiale, inclusiv abordarea simbolică „buna și veche” cu **Reprezentarea Cunoștințelor** și raționamentul ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Rețele Neuronale** și **Învățare Profundă**, care stau la baza IA moderne. Vom ilustra conceptele din spatele acestor subiecte importante folosind cod în două dintre cele mai populare cadre - [TensorFlow](http://Tensorflow.org) și [PyTorch](http://pytorch.org). +* **Arhitecturi Neuronale** pentru a lucra cu imagini și text. Vom acoperi modele recente, deși poate fi ușor lipsit de cele mai noi tehnologii de ultimă generație. +* Abordări mai puțin populare ale IA, cum ar fi **Algoritmi Genetici** și **Sisteme Multi-Agent**. Ce nu vom acoperi în acest curriculum: -> [Găsiți toate resursele suplimentare pentru acest curs în colecția noastră Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Găsește toate resursele suplimentare pentru acest curs în colecția noastră Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Cazuri de utilizare ale **AI în afaceri**. Luați în considerare parcurgerea traseului de învățare [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) pe Microsoft Learn, sau [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), dezvoltat în cooperare cu [INSEAD](https://www.insead.edu/). -* **Învățare automată clasică**, care este bine descrisă în [Curriculumul Machine Learning for Beginners](http://github.com/Microsoft/ML-for-Beginners). -* Aplicații AI practice construite folosind **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Pentru acestea, recomandăm să începeți cu modulele Microsoft Learn pentru [viziune](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [procesarea limbajului natural](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[AI generativ cu Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** și altele. -* Framework-uri cloud specifice ML, cum ar fi [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), sau [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Luați în considerare utilizarea traseelor de învățare [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) și [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **AI conversațional** și **Chat Bots**. Există un traseu de învățare separat [Creați soluții AI conversaționale](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), și puteți, de asemenea, să consultați [acest articol de blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) pentru mai multe detalii. -* **Matematică profundă** din spatele învățării profunde. Pentru aceasta, recomandăm [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) de Ian Goodfellow, Yoshua Bengio și Aaron Courville, care este de asemenea disponibil online la [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Cazuri de afaceri folosind **IA în business**. Poți lua în considerare traseul de învățare [Introducere în IA pentru utilizatori de business](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) pe Microsoft Learn sau [Școala de business AI](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), dezvoltată în colaborare cu [INSEAD](https://www.insead.edu/). +* **Machine Learning clasic**, bine descris în curriculumul nostru [Machine Learning pentru Începători](http://github.com/Microsoft/ML-for-Beginners). +* Aplicații practice IA construite folosind **[Servicii Cognitive](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Pentru acestea, recomandăm să începi cu modulele Microsoft Learn pentru [vedere](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [procesarea limbajului natural](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[IA Generativă cu Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** și altele. +* **Framework-uri ML specifice Cloud-ului**, precum [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) sau [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Ia în considerare traseele de învățare [Construiește și operează soluții de machine learning cu Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) și [Construiește și operează soluții de machine learning cu Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Inteligență Artificială Conversațională** și **Chat Bots**. Există un traseu separat de învățare, [Creează soluții AI conversaționale](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), și poți, de asemenea, să consulți [acest blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) pentru mai multe detalii. +* **Matematică avansată** din spatele învățării profunde. Pentru aceasta recomandăm [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) de Ian Goodfellow, Yoshua Bengio și Aaron Courville, disponibil și online la [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Pentru o introducere blândă în subiectele _AI în Cloud_ ați putea lua în considerare parcurgerea traseului de învățare [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +Pentru o introducere blândă în subiectele _AI în Cloud_, poți lua în considerare traseul de învățare [Începe cu inteligența artificială pe Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Conținut -| | Lesson Link | PyTorch/Keras/TensorFlow | Lab | +| | Link Lecție | PyTorch/Keras/TensorFlow | Laborator | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Configurarea cursului](./lessons/0-course-setup/setup.md) | [Configurați-vă mediul de dezvoltare](./lessons/0-course-setup/how-to-run.md) | | -| I | [**Introducere în AI**](./lessons/1-Intro/README.md) | | | -| 01 | [Introducere și istoria AI](./lessons/1-Intro/README.md) | - | - | -| II | **AI simbolic** | -| 02 | [Reprezentarea cunoștințelor și Sisteme Expert](./lessons/2-Symbolic/README.md) | [Sisteme expert](./lessons/2-Symbolic/Animals.ipynb) / [Ontologie](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf conceptual](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**Introducere în rețele neuronale**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Jupyter Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laborator](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Perceptron multistrat și crearea propriului nostru cadru](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Jupyter Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laborator](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Introducere în framework-uri (PyTorch/TensorFlow) și supraînvățare](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laborator](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Viziune computerizată**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Explorează viziunea computerizată pe Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Introducere în viziunea computerizată. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Jupyter Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laborator](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Rețele neuronale convoluționale](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arhitecturi CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laborator](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Rețele pre-antrenate și învățare prin transfer](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Trucuri de antrenament](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laborator](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [Autoencodere și VAE-uri](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Rețele generative adversariale și transfer de stil artistic](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [Detecția obiectelor](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laborator](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | -| 12 | [Segmentare semantică. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | -| V | [**Procesarea limbajului natural**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Explorează procesarea limbajului natural pe Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Reprezentarea textului. BoW/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | -| 14 | [Reprezentări semantice ale cuvintelor. Word2Vec și GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [Modelare a limbajului. Antrenarea propriilor embedding-uri](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Laborator](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [Rețele neuronale recurente](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | -| 17 | [Rețele recurente generative](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Laborator](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | -| 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [Recunoașterea entităților numite](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laborator](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Modele mari de limbaj, programarea prompturilor și sarcini few-shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **Alte tehnici AI** || | -| 21 | [Algoritmi genetici](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Jupyter Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Învățare prin întărire profundă](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Laborator](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [Sisteme multi-agent](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| 0 | [Configurare Curs](./lessons/0-course-setup/setup.md) | [Configurează-ți mediul de dezvoltare](./lessons/0-course-setup/how-to-run.md) | | +| I | [**Introducere în IA**](./lessons/1-Intro/README.md) | | | +| 01 | [Introducere și Istorie a IA](./lessons/1-Intro/README.md) | - | - | +| II | **IA Simbolică** | +| 02 | [Reprezentarea cunoștințelor și Sisteme Expert](./lessons/2-Symbolic/README.md) | [Sisteme Expert](./lessons/2-Symbolic/Animals.ipynb) / [Ontologie](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf de concepte](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**Introducere în Rețele Neuronale**](./lessons/3-NeuralNetworks/README.md) ||| +| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [Perceptron Multi-Stratificat și Crearea propriului nostru Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Introducere în Framework-uri (PyTorch/TensorFlow) și Supraînvățare](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Viziune pe Calculator**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Explorează Viziunea pe Calculator pe Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [Introducere în Viziunea pe Calculator. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [Rețele Neuronale Convoluționale](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arhitecturi CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Rețele Pre-antrenate și Învățare prin Transfer](./lessons/4-ComputerVision/08-TransferLearning/README.md) și [Trucuri de Antrenament](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [Autoencodere și VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | +| 10 | [Rețele Generative Adversariale & Transfer de Stil Artistic](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [Detecția Obiectelor](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 12 | [Segmentare Semantică. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | +| V | [**Procesarea Limbajului Natural**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Explorează Procesarea Limbajului Natural pe Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [Reprezentarea Textului. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | +| 14 | [Încapsulări semantice ale cuvintelor. Word2Vec și GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | +| 15 | [Modelarea Limbajului. Antrenarea propriilor încorporări](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [Rețele Neuronale Recurente](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | +| 17 | [Rețele Recurente Generative](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 18 | [Transformere. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | +| 19 | [Recunoașterea Entităților Nume](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Modele Mari de Limbaj, Programarea Prompturilor și Task-uri Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **Alte Tehnici AI** || | +| 21 | [Algoritmi Genetici](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [Învățare prin Recompensă Profundă](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [Sisteme Multi-Agent](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **Etica AI** | | | -| 24 | [Etica AI și IA responsabilă](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principii pentru IA responsabilă](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | **Materiale suplimentare** | | | -| 25 | [Rețele multimodale, CLIP și VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Jupyter Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 24 | [Etica AI și AI Responsabil](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principii AI Responsabil](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| IX | **Extra** | | | +| 25 | [Rețele Multi-Modal, CLIP și VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Fiecare lecție conține -* Materiale pentru lectură prealabilă -* Notebook-uri Jupyter executabile, care sunt adesea specifice framework-ului (**PyTorch** sau **TensorFlow**). Notebook-ul executabil conține, de asemenea, mult material teoretic, așa că pentru a înțelege subiectul trebuie să parcurgi cel puțin o versiune a notebook-ului (fie PyTorch, fie TensorFlow). -* **Laboratoare** disponibile pentru unele subiecte, care îți oferă oportunitatea de a încerca aplicarea materialului pe care l-ai învățat la o problemă specifică. -* Unele secțiuni conțin linkuri către module [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) care acoperă subiecte conexe. +* Material de pre-lectură +* Jupyter Notebooks executabile, care sunt adesea specifice unui framework (**PyTorch** sau **TensorFlow**). Notebook-ul executabil conține și mult material teoretic, astfel încât pentru a înțelege tema trebuie să parcurgeți cel puțin o versiune a notebook-ului (fie PyTorch, fie TensorFlow). +* **Laboratoare** disponibile pentru unele subiecte, care vă oferă oportunitatea de a încerca aplicarea materialului învățat la o problemă specifică. +* Unele secțiuni conțin link-uri către module [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) care acoperă subiecte conexe. ## Începeți -### 🎯 Ești nou în AI? Începe aici! +### 🎯 Nou în AI? Începeți aici! -Dacă ești complet nou în AI și vrei exemple practice rapide, consultă [**Exemple pentru începători**](./examples/README.md)! Acestea includ: +Dacă sunteți complet nou în AI și doriți exemple rapide, practice, consultați [**Exemplele prietenoase pentru începători**](./examples/README.md)! Acestea includ: -- 🌟 **Hello AI World** - Primul tău program de AI (recunoaștere de tipare) -- 🧠 **Simple Neural Network** - Construiește o rețea neuronală de la zero -- 🖼️ **Image Classifier** - Clasifică imagini cu comentarii detaliate -- 💬 **Sentimentul textului** - Analizează dacă textul este pozitiv/negativ +- 🌟 **Salut Lume AI** - Primul tău program AI (recunoașterea patternurilor) +- 🧠 **Rețea Neuronală Simplă** - Construiește o rețea neuronală de la zero +- 🖼️ **Clasificator de Imagini** - Clasifică imagini cu comentarii detaliate +- 💬 **Sentimentul Textului** - Analiza textului pozitiv/negativ -Aceste exemple sunt concepute pentru a te ajuta să înțelegi conceptele de IA înainte de a începe curriculumul complet. +Aceste exemple sunt concepute pentru a vă ajuta să înțelegeți conceptele AI înainte de a vă adânci în curriculumul complet. -### 📚 Configurarea curriculumului complet +### 📚 Configurarea Curriculumului Complet -- Am creat o [lecție de configurare](./lessons/0-course-setup/setup.md) pentru a te ajuta să îți configurezi mediul de dezvoltare. - Pentru educatori, am creat și o [lecție de configurare a curriculumului](./lessons/0-course-setup/for-teachers.md) pentru voi! -- Cum să [rulezi codul în VSCode sau în Codepace](./lessons/0-course-setup/how-to-run.md) +- Am creat o [lecție de configurare](./lessons/0-course-setup/setup.md) pentru a vă ajuta cu configurarea mediului de dezvoltare. +- Pentru educatori, am creat și o [lecție de configurare a curriculumului](./lessons/0-course-setup/for-teachers.md)! +- Cum să [rulați codul în VSCode sau Codepace](./lessons/0-course-setup/how-to-run.md) -Urmează pașii de mai jos: +Urmați acești pași: -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +Fork-uiți Repository-ul: Faceți clic pe butonul „Fork” din colțul din dreapta sus al acestei pagini. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Clonați Repository-ul: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +Nu uitați să dați stea (🌟) acestui repo pentru a-l găsi mai ușor ulterior. -## Întâlnește alți cursanți +## Cunoașteți alți Începători -Alătură-te [serverului oficial Discord AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) pentru a cunoaște și a face networking cu alți cursanți care parcurg acest curs și pentru a obține suport. +Alăturați-vă [serverului oficial AI Discord](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) pentru a întâlni și a face networking cu alți cursanți ce urmează acest curs și pentru a primi suport. -Dacă ai feedback despre produs sau întrebări în timpul dezvoltării, vizitează [Forumul dezvoltatorilor Azure AI Foundry](https://aka.ms/foundry/forum) +Dacă aveți feedback despre produs sau întrebări în timpul dezvoltării, vizitați [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) -## Chestionare +## Teste -> **O notă despre chestionare**: Toate chestionarele sunt conținute în folderul Quiz-app în etc\quiz-app, sau [Online aici](https://ff-quizzes.netlify.app/) Sunt legate din cadrul lecțiilor; aplicația de chestionare poate fi rulată local sau poate fi implementată în Azure; urmează instrucțiunile din folderul `quiz-app`. Sunt treptat localizate. +> **O notă despre teste**: Toate testele sunt conținute în folderul Quiz-app în etc\quiz-app, sau [Online Aici](https://ff-quizzes.netlify.app/). Sunt legate din cadrul lecțiilor, aplicația pentru teste poate fi rulată local sau implementată pe Azure; urmați instrucțiunile din folderul `quiz-app`. Ele sunt gradual localizate. -## Ajutor binevenit +## Ajutor Cerut -Ai sugestii sau ai găsit greșeli de ortografie ori erori în cod? Deschide un issue sau creează un pull request. +Aveți sugestii sau ați găsit erori de ortografie sau cod? Ridicați un issue sau creați un pull request. -## Mulțumiri speciale +## Mulțumiri Speciale -* **✍️ Autor principal:** [Dmitry Soshnikov](http://soshnikov.com), PhD +* **✍️ Autor Principal:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Ilustrator sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ Creator chestionare:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Contribuitori principali:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **🎨 Ilustrator Sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ Creator Teste:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 Contribuitori de Bază:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Alte cursuri +## Alte Curricula -Our team produces other curricula! Check out: +Echipa noastră produce și alte curricula! Verificați: ### LangChain -[![LangChain4j pentru începători](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) -[![LangChain.js pentru începători](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) +[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- -### Azure / Edge / MCP / Agents -[![AZD pentru începători](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Edge AI pentru începători](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![MCP pentru începători](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Agenți AI pentru începători](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +### Azure / Edge / MCP / Agenți +[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### Generative AI Series -[![Generative AI pentru începători](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +### Seria AI Generativă +[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) [![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- -### Core Learning -[![ML pentru începători](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![Data Science pentru începători](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) -[![AI pentru începători](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) -[![Securitate cibernetică pentru începători](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) -[![Dezvoltare Web pentru începători](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) -[![IoT pentru începători](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) -[![Dezvoltare XR pentru începători](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) +### Învățare de Bază +[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) +[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) +[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) +[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- ### Seria Copilot -[![Copilot pentru programare asistată de AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) -[![Copilot pentru C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![Aventura Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) +[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) +[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) -## Obține ajutor +## Obținerea Ajutorului -Dacă te blochezi sau ai întrebări legate de construirea aplicațiilor AI, alătură-te cursanților și dezvoltatorilor experimentați în discuții despre MCP. Este o comunitate de sprijin în care întrebările sunt binevenite și cunoștințele sunt împărtășite liber. +Dacă sunteți blocat sau aveți întrebări despre construirea aplicațiilor AI, alăturați-vă altor cursanți și dezvoltatori experimentați în discuții despre MCP. Este o comunitate suportivă unde întrebările sunt binevenite și cunoștințele sunt împărtășite liber. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Dacă ai feedback despre produs sau întâmpini erori în timpul dezvoltării, vizitează: +Dacă aveți feedback despre produs sau erori în timpul dezvoltării, vizitați: -[![Forumul Dezvoltatorilor Microsoft Foundry](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) +[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -**Declinare de responsabilitate**: -Acest document a fost tradus cu ajutorul serviciului de traducere AI [Co-op Translator](https://github.com/Azure/co-op-translator). Deși depunem eforturi pentru acuratețe, vă rugăm să rețineți că traducerile automate pot conține erori sau inexactități. Documentul original, în limba sa nativă, trebuie considerat sursa autorizată. Pentru informații critice, se recomandă o traducere profesională realizată de un traducător uman. Nu ne asumăm responsabilitatea pentru eventualele neînțelegeri sau interpretări eronate care decurg din utilizarea acestei traduceri. +**Declinare a responsabilității**: +Acest document a fost tradus folosind serviciul de traducere AI [Co-op Translator](https://github.com/Azure/co-op-translator). Deși ne străduim pentru acuratețe, vă rugăm să rețineți că traducerile automate pot conține erori sau inexactități. Documentul original, în limba sa nativă, trebuie considerat sursa autoritară. Pentru informații critice, se recomandă traducerea profesională realizată de un specialist uman. Nu ne asumăm responsabilitatea pentru eventualele neînțelegeri sau interpretări greșite care pot apărea ca urmare a utilizării acestei traduceri. \ No newline at end of file diff --git a/translations/sk/README.md b/translations/sk/README.md index 8adeebab..4919fa04 100644 --- a/translations/sk/README.md +++ b/translations/sk/README.md @@ -1,44 +1,53 @@ -[![Licencia GitHub](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![Prispievatelia GitHubu](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![Problémy na GitHub](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![Pull requesty na GitHub](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PRy vítané](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![Sledujúci na GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![Forky na GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![Hviezdy na GitHub](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Umelá inteligencia pre začiatočníkov - Učebný plán +# Učenie pre začiatočníkov v oblasti umelej inteligencie - Kurz -|![Sketchnote od @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.sk.png)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.sk.png)| |:---:| | AI pre začiatočníkov - _Sketchnote od [@girlie_mac](https://twitter.com/girlie_mac)_ | -Preskúmajte svet **umelej inteligencie** (AI) s naším 12-týždňovým, 24-lekčným učebným plánom! Obsahuje praktické lekcie, kvízy a laboratórne cvičenia. Učebný plán je vhodný pre začiatočníkov a pokrýva nástroje ako TensorFlow a PyTorch, ako aj etiku v AI - +Preskúmajte svet **umelej inteligencie** (AI) s naším 12-týždňovým kurzom pozostávajúcim z 24 lekcií! Zahŕňa praktické lekcie, kvízy a laboratórne cvičenia. Kurz je priateľský pre začiatočníkov a pokrýva nástroje ako TensorFlow a PyTorch, ako aj etiku v AI. ### 🌐 Podpora viacerých jazykov #### Podporované cez GitHub Action (automatizované a vždy aktuálne) -[Arabčina](../ar/README.md) | [Bengálčina](../bn/README.md) | [Bulharčina](../bg/README.md) | [Barmský (Myanmar)](../my/README.md) | [Čínština (zjednodušená)](../zh/README.md) | [Čínština (tradičná, Hongkong)](../hk/README.md) | [Čínština (tradičná, Macao)](../mo/README.md) | [Čínština (tradičná, Taiwan)](../tw/README.md) | [Chorvátčina](../hr/README.md) | [Čeština](../cs/README.md) | [Dánčina](../da/README.md) | [Holandčina](../nl/README.md) | [Estónčina](../et/README.md) | [Fínčina](../fi/README.md) | [Francúzština](../fr/README.md) | [Nemčina](../de/README.md) | [Gréčtina](../el/README.md) | [Hebrejčina](../he/README.md) | [Hindčina](../hi/README.md) | [Maďarčina](../hu/README.md) | [Indonézčina](../id/README.md) | [Taliančina](../it/README.md) | [Japončina](../ja/README.md) | [Kannadčina](../kn/README.md) | [Kórejčina](../ko/README.md) | [Litovčina](../lt/README.md) | [Malajčina](../ms/README.md) | [Malajálamčina](../ml/README.md) | [Maráthčina](../mr/README.md) | [Nepálčina](../ne/README.md) | [Nigérijská pidžinčina](../pcm/README.md) | [Nórština](../no/README.md) | [Perzština (Farsi)](../fa/README.md) | [Poľština](../pl/README.md) | [Portugalčina (Brazília)](../br/README.md) | [Portugalčina (Portugalsko)](../pt/README.md) | [Pandžábčina (Gurmukhi)](../pa/README.md) | [Rumunčina](../ro/README.md) | [Ruština](../ru/README.md) | [Srbčina (cyrilika)](../sr/README.md) | [Slovenčina](./README.md) | [Slovinčina](../sl/README.md) | [Španielčina](../es/README.md) | [Svahilčina](../sw/README.md) | [Švédčina](../sv/README.md) | [Tagalog (Filipíny)](../tl/README.md) | [Tamilčina](../ta/README.md) | [Telugčina](../te/README.md) | [Thajčina](../th/README.md) | [Turečtina](../tr/README.md) | [Ukrajinčina](../uk/README.md) | [Urdčina](../ur/README.md) | [Vietnamčina](../vi/README.md) +[Arabčina](../ar/README.md) | [Bengálčina](../bn/README.md) | [Bulharčina](../bg/README.md) | [Barmčina (Myanmar)](../my/README.md) | [Čínština (zjednodušená)](../zh/README.md) | [Čínština (tradičná, Hongkong)](../hk/README.md) | [Čínština (tradičná, Macau)](../mo/README.md) | [Čínština (tradičná, Taiwan)](../tw/README.md) | [Chorvátčina](../hr/README.md) | [Čeština](../cs/README.md) | [Dánčina](../da/README.md) | [Holandčina](../nl/README.md) | [Estónčina](../et/README.md) | [Fínčina](../fi/README.md) | [Francúzština](../fr/README.md) | [Nemčina](../de/README.md) | [Gréčtina](../el/README.md) | [Hebrejčina](../he/README.md) | [Hindi](../hi/README.md) | [Maďarčina](../hu/README.md) | [Indonézština](../id/README.md) | [Taliančina](../it/README.md) | [Japončina](../ja/README.md) | [Kannadčina](../kn/README.md) | [Kórejčina](../ko/README.md) | [Litovčina](../lt/README.md) | [Malajčina](../ms/README.md) | [Malajálamčina](../ml/README.md) | [Maráthčina](../mr/README.md) | [Nepálčina](../ne/README.md) | [Nigérijský pidžin](../pcm/README.md) | [Nórčina](../no/README.md) | [Perzština (Farsi)](../fa/README.md) | [Poľština](../pl/README.md) | [Portugalčina (Brazília)](../br/README.md) | [Portugalčina (Portugalsko)](../pt/README.md) | [Pandžábčina (Gurmukhi)](../pa/README.md) | [Rumunčina](../ro/README.md) | [Ruština](../ru/README.md) | [Srbčina (cyrilika)](../sr/README.md) | [Slovenčina](./README.md) | [Slovinčina](../sl/README.md) | [Španielčina](../es/README.md) | [Swahilčina](../sw/README.md) | [Švédčina](../sv/README.md) | [Tagalog (Filipínčina)](../tl/README.md) | [Tamilčina](../ta/README.md) | [Telugčina](../te/README.md) | [Thajčina](../th/README.md) | [Turečtina](../tr/README.md) | [Ukrajinčina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamsčina](../vi/README.md) + +> **Preferujete klonovanie lokálne?** + +> Tento repozitár obsahuje viac ako 50 jazykových prekladov, ktoré výrazne zväčšujú veľkosť stiahnutia. Ak chcete klonovať bez prekladov, použite sparse checkout: +> ```bash +> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git +> cd AI-For-Beginners +> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' +> ``` +> Toto vám poskytne všetko potrebné pre dokončenie kurzu s omnoho rýchlejším stiahnutím. -**Ak si prajete ďalšie preklady, podporované jazyky sú uvedené [tu](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Ak si prajete ďalšie podporované prekladateľské jazyky, nájdete ich [tu](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Pridajte sa ku komunite [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) @@ -47,25 +56,25 @@ Preskúmajte svet **umelej inteligencie** (AI) s naším 12-týždňovým, 24-le **[Myšlienková mapa kurzu](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -V tomto učebnom pláne sa naučíte: +V tomto kurze sa naučíte: -* Rôzne prístupy k umelej inteligencii, vrátane „dobre starého“ symbolického prístupu s **reprezentáciou znalostí** a odvodzovaním ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Neurónové siete** a **hlboké učenie**, ktoré sú jadrom modernej AI. Koncepty týchto dôležitých tém si ukážeme pomocou kódu v dvoch najpopulárnejších rámcoch - [TensorFlow](http://Tensorflow.org) a [PyTorch](http://pytorch.org). -* **Neurónové architektúry** na prácu s obrázkami a textom. Pokryjeme nedávne modely, hoci môžeme byť v niektorých oblastiach mierne za súčasným stavom techniky. -* Menej populárne prístupy k AI, ako sú **genetické algoritmy** a **systémy viacerých agentov**. +* Rôzne prístupy k umelej inteligencii, vrátane „starého dobrého“ symbolického prístupu s **Reprezentáciou znalostí** a uvažovaním ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Neuronové siete** a **hlboké učenie**, ktoré sú jadrom modernej AI. Koncepty týchto dôležitých tém vysvetlíme pomocou kódu v dvoch z najpopulárnejších frameworkov - [TensorFlow](http://Tensorflow.org) a [PyTorch](http://pytorch.org). +* **Neuronové architektúry** pre prácu s obrázkami a textom. Pokryjeme aj nedávne modely, aj keď nie úplne najmodernejšie. +* Menej populárne prístupy AI, ako sú **genetické algoritmy** a **multi-agentové systémy**. -Čo v tomto učebnom pláne nebudeme pokrývať: +Čo v tomto kurze nebudeme pokrývať: -> [Nájdete všetky ďalšie zdroje pre tento kurz v našej kolekcii Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Nájdite všetky doplnkové zdroje k tomuto kurzu v našej kolekcii Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Obchodné prípady použitia **AI v podnikaní**. Zvážte absolvovanie učebnej cesty [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn, alebo [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), vyvinutej v spolupráci s [INSEAD](https://www.insead.edu/). +* Obchodné prípady využitia **AI v biznise**. Zvážte absolvovanie učebnej cesty [Úvod do AI pre podnikových používateľov](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn alebo [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), vytvorenú v spolupráci s [INSEAD](https://www.insead.edu/). * **Klasické strojové učenie**, ktoré je dobre popísané v našom [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners). -* Praktické AI aplikácie vybudované pomocou **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Na to odporúčame začať modulmi Microsoft Learn pre [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** a ďalšie. -* Konkrétne ML **cloudové rámce**, ako napríklad [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) alebo [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Zvážte použitie učebných ciest [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) a [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **Konverzačná AI** a **chatboti**. Existuje samostatná učebná cesta [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), a pre viac detailov sa môžete tiež odkázať na [tento blogový príspevok](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/). -* **Hlboká matematika** za hlbokým učením. Na to odporúčame [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) od Iana Goodfellowa, Yoshua Bengia a Aarona Courvilla, ktorá je tiež dostupná online na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Praktické AI aplikácie postavené na **[Kognitívnych službách](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Na to odporúčame začať modulmi Microsoft Learn pre [videnie](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [spracovanie prirodzeného jazyka](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatívnu AI so službou Azure OpenAI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** a ďalšie. +* Konkrétne ML **cloudové frameworky**, ako sú [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) alebo [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Odporúčame použiť učebné cesty [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) a [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Konverzačnú AI** a **chat boty**. Existuje samostatná [učebná cesta pre vytváranie konverzačných AI riešení](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), prípadne sa môžete pozrieť na [tento blogový príspevok](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) pre viac detailov. +* **Hlbokú matematiku** za hlbokým učením. Na to odporúčame [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) od Iana Goodfellowa, Yoshua Bengia a Aarona Courvilla, ktorá je dostupná aj online na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Pre jemný úvod do tém _AI v cloude_ zvážte absolvovanie učebnej cesty [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +Pre jemný úvod do tém _AI v cloude_ môžete zvážiť absolvovanie učebnej cesty [Začnite s umelou inteligenciou na Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Obsah @@ -75,113 +84,113 @@ Pre jemný úvod do tém _AI v cloude_ zvážte absolvovanie učebnej cesty [Get | I | [**Úvod do AI**](./lessons/1-Intro/README.md) | | | | 01 | [Úvod a história AI](./lessons/1-Intro/README.md) | - | - | | II | **Symbolická AI** | -| 02 | [Reprezentácia znalostí a expertné systémy](./lessons/2-Symbolic/README.md) | [Expertné systémy](./lessons/2-Symbolic/Animals.ipynb) / [Ontológia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Koncepčný graf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**Úvod do neurónových sietí**](./lessons/3-NeuralNetworks/README.md) ||| +| 02 | [Reprezentácia znalostí a expertné systémy](./lessons/2-Symbolic/README.md) | [Expertné systémy](./lessons/2-Symbolic/Animals.ipynb) / [Ontológia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptuálny graf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**Úvod do neuronových sietí**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [Perceptrón](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Viacvrstvový perceptrón a vytvorenie nášho vlastného frameworku](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Úvod do frameworkov (PyTorch/TensorFlow) a preučenie](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Počítačové videnie**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Preskúmať počítačové videnie na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 04 | [Viacvrstvový perceptor a vytváranie vlastného rámca](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Úvod do rámcov (PyTorch/TensorFlow) a preučovanie](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Počítačové videnie**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Preskúmajte počítačové videnie na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | | 06 | [Úvod do počítačového videnia. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | | 07 | [Konvolučné neurónové siete](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Architektúry CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Predtrénované siete a prenosové učenie](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Triky trénovania](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [Autoenkódery a VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Generatívne adversariálne siete & Prenos umeleckého štýlu](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 08 | [Predtrénované siete a transfer learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) a [Tréningové triky](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [Autoenkodéry a VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | +| 10 | [Generatívne adversariálne siete a prenos umeleckého štýlu](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Detekcia objektov](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Sémantická segmentácia. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | -| V | [**Spracovanie prirodzeného jazyka**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Preskúmať spracovanie prirodzeného jazyka na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Reprezentácia textu. BoW/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | +| V | [**Spracovanie prirodzeného jazyka**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Preskúmajte spracovanie prirodzeného jazyka na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [Reprezentácia textu. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | | 14 | [Sémantické vektorové reprezentácie slov. Word2Vec a GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [Modelovanie jazyka. Trénovanie vlastných embeddingov](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 15 | [Modelovanie jazyka. Tréning vlastných vektorov](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [Rekurentné neurónové siete](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | | 17 | [Generatívne rekurentné siete](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Transformery. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | | 19 | [Rozpoznávanie pomenovaných entít](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Veľké jazykové modely, programovanie promptov a úlohy s malým počtom príkladov](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | [**Iné AI techniky**] || | +| 20 | [Veľké jazykové modely, programovanie promptov a few-shot úlohy](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **Iné AI techniky** || | | 21 | [Genetické algoritmy](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Hlboké posilňovacie učenie](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [Systémy viacerých agentov](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | [**Etika AI**] | | | +| 22 | [Hlboké učenie posilňovaním](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [Systémy s viacerými agentmi](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| VII | **Etika AI** | | | | 24 | [Etika AI a zodpovedná AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Zásady zodpovednej AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | [**Doplnky**] | | | -| 25 | [Multimodálne siete, CLIP a VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| IX | **Doplnky** | | | +| 25 | [Multi-modálne siete, CLIP a VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Každá lekcia obsahuje -* Materiál na predčítanie -* Spustiteľné Jupyter notebooky, ktoré sú často špecifické pre framework (**PyTorch** alebo **TensorFlow**). Spustiteľný notebook tiež obsahuje veľa teoretického materiálu, takže na pochopenie témy je potrebné prejsť aspoň jednu verziu notebooku (buď PyTorch alebo TensorFlow). -* **Labs** dostupné pre niektoré témy, ktoré vám dávajú príležitosť vyskúšať aplikovať naučený materiál na konkrétny problém. -* Niektoré sekcie obsahujú odkazy na moduly [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ktoré pokrývajú súvisiace témy. +* Predčítaný materiál +* Spustiteľné Jupyter Notebooky, ktoré sú často špecifické pre rámec (**PyTorch** alebo **TensorFlow**). Spustiteľný notebook tiež obsahuje množstvo teoretického materiálu, takže na pochopenie témy je potrebné prejsť aspoň jednu verziu notebooku (buď PyTorch alebo TensorFlow). +* **Laboratórne cvičenia** dostupné pre niektoré témy, ktoré vám dávajú možnosť vyskúšať si aplikovať naučený materiál na konkrétny problém. +* Niektoré sekcie obsahujú odkazy na moduly [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), ktoré pokrývajú súvisiace témy. ## Začíname -### 🎯 Nováčik v AI? Začnite tu! +### 🎯 Ste nový v AI? Začnite tu! -Ak ste úplne nový v AI a chcete rýchle, praktické príklady, pozrite si naše [**Príklady pre začiatočníkov**](./examples/README.md)! Tieto zahŕňajú: +Ak ste úplný nováčik v AI a chcete rýchle, praktické príklady, pozrite si naše [**Príklady vhodné pre začiatočníkov**](./examples/README.md)! Tieto zahŕňajú: - 🌟 **Hello AI World** - Váš prvý AI program (rozpoznávanie vzorov) -- 🧠 **Simple Neural Network** - Postavte neurónovú sieť od základov -- 🖼️ **Image Classifier** - Klasifikujte obrázky s podrobnými komentármi +- 🧠 **Jednoduchá neurónová sieť** - Vytvorte neurónovú sieť od základov +- 🖼️ **Klasifikátor obrázkov** - Klasifikujte obrázky s podrobnými komentármi - 💬 **Sentiment textu** - Analyzujte pozitívny/negatívny text -Tieto príklady sú navrhnuté tak, aby vám pomohli pochopiť koncepty AI predtým, než sa pustíte do celého kurikula. +Tieto príklady sú navrhnuté tak, aby vám pomohli pochopiť koncepty AI predtým, než sa pustíte do celého učebného plánu. -### 📚 Nastavenie celého kurikula +### 📚 Nastavenie celého učebného plánu -- Vytvorili sme [setup lesson](./lessons/0-course-setup/setup.md), aby sme vám pomohli s nastavením vášho vývojového prostredia. - Pre pedagógov sme tiež vytvorili [curricula setup lesson](./lessons/0-course-setup/for-teachers.md)! -- Ako [Spustiť kód vo VSCode alebo Codepace](./lessons/0-course-setup/how-to-run.md) +- Vytvorili sme [lekciu pre nastavenie](./lessons/0-course-setup/setup.md), ktorá vám pomôže s nastavením vývojového prostredia. - Pre pedagógov sme tiež vytvorili [lekciu pre nastavenie učebného plánu](./lessons/0-course-setup/for-teachers.md)! +- Ako [spustiť kód vo VSCode alebo Codepace](./lessons/0-course-setup/how-to-run.md) Postupujte podľa týchto krokov: -Fork the Repository: Kliknite na tlačidlo "Fork" v pravom hornom rohu tejto stránky. +Forknite repozitár: Kliknite na tlačidlo "Fork" v pravom hornom rohu tejto stránky. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Klonujte repozitár: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Nezabudnite tomuto repozitáru dať hviezdičku (🌟), aby ste ho potom ľahšie našli. +Nezabudnite tomuto repozitáru dať hviezdičku (🌟), aby ste ho neskôr ľahšie našli. -## Spojte sa s ostatnými študentmi +## Spoznajte ďalších študentov -Pridajte sa na náš [oficiálny AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), aby ste sa zoznámili a nadviazali kontakty s ostatnými účastníkmi kurzu a získali podporu. +Pripojte sa k nášmu [oficiálnemu AI Discord serveru](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), kde sa môžete stretnúť a nadviazať kontakty s ďalšími študentmi tohto kurzu a získať podporu. -Ak máte spätnú väzbu k produktu alebo otázky počas vývoja, navštívte naše [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +Ak máte spätnú väzbu alebo otázky počas budovania, navštívte náš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) -## Kvízy +## Kvízy -> **Poznámka o kvízoch**: Všetky kvízy sú umiestnené v zložke Quiz-app v etc\quiz-app, alebo [online tu](https://ff-quizzes.netlify.app/) Sú prepojené v rámci lekcií; quiz app je možné spustiť lokálne alebo nasadiť do Azure; postupujte podľa inštrukcií v zložke `quiz-app`. Postupne sú lokalizované. +> **Poznámka o kvízoch**: Všetky kvízy sú obsiahnuté v priečinku Quiz-app vo etc\quiz-app alebo [online tu](https://ff-quizzes.netlify.app/). Sú prepojené z lekcií, aplikáciu kvízov možno spustiť lokálne alebo nasadiť na Azure; postupujte podľa inštrukcií v priečinku `quiz-app`. Postupne sa lokalizujú. -## Potrebujeme pomoc +## Hľadáme pomoc -Máte návrhy alebo ste našli pravopisné či kódové chyby? Otvorte issue alebo vytvorte pull request. +Máte návrhy alebo ste našli chyby v pravopise či kóde? Vytvorte issue alebo pull request. ## Špeciálne poďakovanie * **✍️ Hlavný autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 Redaktor:** [Jen Looper](https://twitter.com/jenlooper), PhD +* **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD * **🎨 Ilustrátor sketchnotov:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ Tvorca kvízov:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **✅ Tvorcovia kvízov:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) * **🙏 Hlavní prispievatelia:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Ďalšie kurikuly +## Ďalšie učebné plány -Náš tím vytvára aj ďalšie kurikuly! Pozrite si: +Náš tím vytvára aj ďalšie učebné plány! Pozrite si: ### LangChain -[![LangChain4j pre začiatočníkov](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) -[![LangChain.js pre začiatočníkov](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) +[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- -### Azure / Edge / MCP / Agents -[![AZD pre začiatočníkov](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Edge AI pre začiatočníkov](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![MCP pre začiatočníkov](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![AI Agents pre začiatočníkov](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +### Azure / Edge / MCP / Agenti +[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### Séria generatívnej AI -[![Generative AI pre začiatočníkov](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +### Séria Generatívnej AI +[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) [![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) @@ -189,35 +198,35 @@ Náš tím vytvára aj ďalšie kurikuly! Pozrite si: --- ### Základné vzdelávanie -[![ML pre začiatočníkov](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![Data Science pre začiatočníkov](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) -[![AI pre začiatočníkov](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) -[![Kyberbezpečnosť pre začiatočníkov](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) -[![Web Dev pre začiatočníkov](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) -[![IoT pre začiatočníkov](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) -[![XR Development pre začiatočníkov](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) +[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) +[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) +[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) +[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- ### Séria Copilot -[![Copilot pre AI párovania programovania](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) -[![Copilot pre C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) +[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) [![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) -## Získanie pomoci +## Získavanie pomoci -Ak sa zaseknete alebo máte akékoľvek otázky o tvorbe AI aplikácií, pripojte sa k ostatným študentom a skúseným vývojárom v diskusiách o MCP. Je to podporná komunita, kde sú otázky vítané a vedomosti sa voľne zdieľajú. +Ak sa zaseknete alebo máte akékoľvek otázky o tvorbe AI aplikácií, pripojte sa k ďalším študentom a skúseným vývojárom v diskusiách o MCP. Je to podporujúca komunita, kde sú otázky vítané a vedomosti sa slobodne zdieľajú. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Ak máte spätnú väzbu k produktu alebo narazíte na chyby počas vývoja, navštívte: +Ak máte spätnú väzbu alebo počas budovania natrafíte na chyby, navštívte: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -**Vylúčenie zodpovednosti**: -Tento dokument bol preložený pomocou AI prekladateľskej služby [Co-op Translator](https://github.com/Azure/co-op-translator). Aj keď sa snažíme o presnosť, berte prosím na vedomie, že automatizované preklady môžu obsahovať chyby alebo nepresnosti. Pôvodný dokument v jeho pôvodnom jazyku by sa mal považovať za autoritatívny zdroj. Pri kritických informáciách sa odporúča profesionálny ľudský preklad. Nie sme zodpovední za žiadne nedorozumenia alebo mylné výklady vyplývajúce z použitia tohto prekladu. +**Vyhlásenie o zodpovednosti**: +Tento dokument bol preložený pomocou AI prekladateľskej služby [Co-op Translator](https://github.com/Azure/co-op-translator). Aj keď sa snažíme o presnosť, vezmite, prosím, na vedomie, že automatizované preklady môžu obsahovať chyby alebo nepresnosti. Originálny dokument v jeho pôvodnom jazyku by mal byť považovaný za autoritatívny zdroj. Pre kritické informácie sa odporúča profesionálny ľudský preklad. Nezodpovedáme za akékoľvek nedorozumenia alebo nesprávne výklady vzniknuté použitím tohto prekladu. \ No newline at end of file diff --git a/translations/sr/README.md b/translations/sr/README.md index 3bc0f61d..cce87c11 100644 --- a/translations/sr/README.md +++ b/translations/sr/README.md @@ -1,21 +1,21 @@ -[![GitHub лиценца](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![GitHub контрибутори](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![GitHub питања](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![GitHub pull-захтеви](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PR-ови добродошли](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![GitHub пратиоци](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![GitHub форкови](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![GitHub звезде](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) @@ -23,21 +23,32 @@ CO_OP_TRANSLATOR_METADATA: # Вештачка интелигенција за почетнике - Наставни програм -|![Скетчнот од @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.sr.png)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.sr.png)| |:---:| -| AI за почетнике - _Скетчнот од [@girlie_mac](https://twitter.com/girlie_mac)_ | +| Вештачка интелигенција за почетнике - _Скетчнот од [@girlie_mac](https://twitter.com/girlie_mac)_ | -Истражите свет **вештачке интелигенције** (AI) уз наш наставни програм од 12 недеља и 24 лекције! Укључује практичне лекције, квизове и лабораторијске вежбе. Наставни програм је прилагођен почетницима и обухвата алате попут TensorFlow и PyTorch, као и етику у AI +Истражите свет **Вештачке интелигенције** (AI) кроз наш наставни програм који траје 12 недеља и обухвата 24 лекције! Он укључује практичне часове, квизове и лабораторијске вежбе. Наставни програм је прилагођен почетницима и обухвата алате као што су TensorFlow и PyTorch, као и етику у AI -### 🌐 Подршка на више језика -#### Подржано преко GitHub Action (Аутоматизовано и увек ажурирано) +### 🌐 Подршка за више језика + +#### Подржано преко GitHub акције (Аутоматски и увек ажурирано) -[Арапски](../ar/README.md) | [Бенгалски](../bn/README.md) | [Бугарски](../bg/README.md) | [Бурмански (Мјанмар)](../my/README.md) | [Кинески (поједностављени)](../zh/README.md) | [Кинески (традиционални, Хонг Конг)](../hk/README.md) | [Кинески (традиционални, Макао)](../mo/README.md) | [Кинески (традиционални, Тајван)](../tw/README.md) | [Хрватски](../hr/README.md) | [Чешки](../cs/README.md) | [Дански](../da/README.md) | [Холандски](../nl/README.md) | [Естонски](../et/README.md) | [Фински](../fi/README.md) | [Француски](../fr/README.md) | [Немачки](../de/README.md) | [Грчки](../el/README.md) | [Хебрејски](../he/README.md) | [Хинди](../hi/README.md) | [Мађарски](../hu/README.md) | [Индонежански](../id/README.md) | [Италијански](../it/README.md) | [Јапански](../ja/README.md) | [Каннада](../kn/README.md) | [Корејски](../ko/README.md) | [Литвански](../lt/README.md) | [Малајски](../ms/README.md) | [Малајалам](../ml/README.md) | [Марати](../mr/README.md) | [Непалски](../ne/README.md) | [Нигеријски Пиџин](../pcm/README.md) | [Норвешки](../no/README.md) | [Персијски (Фарси)](../fa/README.md) | [Пољски](../pl/README.md) | [Португалски (Бразил)](../br/README.md) | [Португалски (Португал)](../pt/README.md) | [Пенџабски (Гурмукхи)](../pa/README.md) | [Румунски](../ro/README.md) | [Руски](../ru/README.md) | [Српски (ћирилица)](./README.md) | [Словачки](../sk/README.md) | [Словеначки](../sl/README.md) | [Шпански](../es/README.md) | [Свахили](../sw/README.md) | [Шведски](../sv/README.md) | [Тагалог (Филипински)](../tl/README.md) | [Тамилски](../ta/README.md) | [Телугу](../te/README.md) | [Тајландски](../th/README.md) | [Турски](../tr/README.md) | [Украјински](../uk/README.md) | [Урду](../ur/README.md) | [Вијетнамски](../vi/README.md) +[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](./README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) + +> **Препоручујемо локално клонирање?** + +> Овај репозиторијум укључује преко 50 превода што значајно повећава величину преузимања. За клонирање без превода, користите sparse checkout: +> ```bash +> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git +> cd AI-For-Beginners +> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' +> ``` +> Ово вам даје све што вам је потребно за завршетак курса са знатно бржим преузимањем. -**Ако желите да додатни преводи буду доступни, подржане језике можете пронаћи [овде](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Ако желите да додате подршку за више језика превода, они су наведени [овде](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Придружите се заједници [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) @@ -46,141 +57,141 @@ CO_OP_TRANSLATOR_METADATA: **[Мапа ума курса](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -У овом наставном програму научићете: +У овом наставном програму ћете научити: -* Различите приступе вештачкој интелигенцији, укључујући „стари добри” симболички приступ са **Представљањем знања** и резонирањем ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Неуронске мреже** и **дубоко учење**, које су у сржи модерне вештачке интелигенције. Илустроваћемо концепте иза ових важних тема користећи код у два од најпопуларнијих оквира - [TensorFlow](http://Tensorflow.org) и [PyTorch](http://pytorch.org). -* **Неуронске архитектуре** за рад са сликама и текстом. Покрићемо новије моделе, али можда нећемо у потпуности обухватити најсавременија достигнућа. -* Мање популарне приступе у AI, као што су **генетски алгоритми** и **мулти-агентски системи**. +* Различите приступе вештачкој интелигенцији, укључујући „стару добру“ симболичку методу са **представљањем знања** и размишљањем ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Невронске мреже** и **дубоко учење**, које су у основи модерне AI. Илустроваћемо концепте иза ових важних тема користећи код у два од најпопуларнијих фрејмворка - [TensorFlow](http://Tensorflow.org) и [PyTorch](http://pytorch.org). +* **Невронске архитектуре** за рад са сликама и текстом. Покрићемо најновије моделе, али можда ћемо мало заостати у најсавременијим достигнућима. +* Мање популарне AI приступе, као што су **генетски алгоритми** и **мултиагентски системи**. -Шта нећемо обухватити у овом наставном програму: +Шта нећемо обрадити у овом наставном програму: -> [Пронађите све додатне ресурсе за овај курс у нашој колекцији Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Пронађите све додатне ресурсе за овај курс у нашој Microsoft Learn колекцији](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Пословни примери коришћења **AI у пословању**. Размотрите похађање пута учења [Увод у AI за пословне кориснике](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) на Microsoft Learn, или [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), развијен у сарадњи са [INSEAD](https://www.insead.edu/). -* **Класично машинско учење**, које је добро описано у нашем [Курикулуму Машинског учења за почетнике](http://github.com/Microsoft/ML-for-Beginners). -* Практичне AI апликације изграђене помоћу **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. За ово, препоручујемо да почнете са Microsoft Learn модулима за [рачунарски вид](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [обраду природног језика](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Генеративни AI са Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** и друге. -* Конкретне ML **облачне оквире**, као што су [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), или [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Размотрите коришћење пута учења [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) и [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **Разговорни AI** и **Ћаскајући ботови**. Постоји посебан пут учења [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), а можете се такође обратити и [овом блог посту](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) за више детаља. -* **Дубока математика** иза дубоког учења. За ово препоручујемо [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) аутора Иана Гудфелоуа, Јошуа Бенжија и Аарона Курвила, која је такође доступна онлајн на [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Пословне случајеве коришћења **AI у бизнису**. Размотрите похађање учећег пута [Увод у AI за пословне кориснике](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) на Microsoft Learn, или [AI Бизнис школу](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), развијену у сарадњи са [INSEAD](https://www.insead.edu/). +* **Класично машинско учење**, које је добро описано у нашем [Наставном програму за машинско учење за почетнике](http://github.com/Microsoft/ML-for-Beginners). +* Практичне AI примене изграђене коришћењем **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. За ово препоручујемо да почнете са Microsoft Learn модулима за [вид](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [обраду природног језика](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[генеративни AI са Azure OpenAI сервисом](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** и друге. +* Специфичне ML **Cloud Frameworks**, као што су [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), или [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Размотрите коришћење учећих путања [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) и [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Разговорни AI** и **Чет ботове**. Постоји посебан учећи пут [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), и можете се такође обратити [овом блогу](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) за детаљније информације. +* **Дубока математика** иза дубоког учења. За ово препоручујемо књигу [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) аутора Иана Гудфелоу, Јошуа Бенгија и Аарона Курвила, која је такође доступна онлајн на [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -За лаган увод у теме о _AI у облаку_ можете размотрити похађање пута учења [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +За благи увод у теме _AI у облаку_ можете размотрити похађање учећег пута [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Садржај -| | Линк ка лекцији | PyTorch/Keras/TensorFlow | Лабораторија | +| | Веза ка лекцији | PyTorch/Keras/TensorFlow | Лабораторија | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Постављање курса](./lessons/0-course-setup/setup.md) | [Подесите развојно окружење](./lessons/0-course-setup/how-to-run.md) | | +| 0 | [Подешавање курса](./lessons/0-course-setup/setup.md) | [Подесите ваше развојно окружење](./lessons/0-course-setup/how-to-run.md) | | | I | [**Увод у AI**](./lessons/1-Intro/README.md) | | | | 01 | [Увод и историја AI](./lessons/1-Intro/README.md) | - | - | | II | **Симболички AI** | -| 02 | [Представљање знања и експертни системи](./lessons/2-Symbolic/README.md) | [Експертни системи](./lessons/2-Symbolic/Animals.ipynb) / [Онтологија](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Граф концепата](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| 02 | [Представљање знања и експертски системи](./lessons/2-Symbolic/README.md) | [Експертски системи](./lessons/2-Symbolic/Animals.ipynb) / [Онтологија](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Граф концепата](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Увод у неуронске мреже**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [Перцептрон](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Бележница](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Лаб](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Вишеслојни перцептрон и креирање нашег фрејмворка](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Бележница](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Лаб](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Увод у фрејмворке (PyTorch/TensorFlow) и прекомерно прилагођавање](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лаб](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Компјутерски вид**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Истражите компјутерски вид на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Увод у компјутерски вид. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Бележница](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Лаб](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Конволуционе неуронске мреже](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Архитектуре CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Лаб](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Унапред обучене мреже и преносно учење](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Трикови за обуку](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лаб](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [Аутоенкодери и VAE-ови](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Генеративне супротстављене мреже и пренос уметничког стила](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 04 | [Вишеслојни перцептрон и креирање сопственог оквира](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Бележница](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Лаб](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Увод у оквире (PyTorch/TensorFlow) и пренамеравање](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лаб](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Рачунарски вид**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Истражите рачунарски вид на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [Увод у рачунарски вид. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Бележница](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Лаб](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [Конволуционе неуронске мреже](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN архетиктуре](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Лаб](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Унапред обучене мреже и трансфер учење](./lessons/4-ComputerVision/08-TransferLearning/README.md) и [Трикси тренинга](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лаб](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [Аутокодери и VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | +| 10 | [Генеративне противничке мреже и пренос уметничког стила](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Детекција објеката](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Лаб](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Семантичка сегментација. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | | V | [**Обрада природног језика**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Истражите обраду природног језика на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Репрезентација текста. BoW/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | -| 14 | [Семантичка уграђивања речи. Word2Vec и GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [Језичко моделирање. Обука сопствених уграђивања](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Лаб](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 13 | [Презентација текста. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | +| 14 | [Семантичке речне уградње. Word2Vec и GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | +| 15 | [Језичко моделирање. Тренирање сопствених уградњи](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Лаб](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [Рекурентне неуронске мреже](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | | 17 | [Генеративне рекурентне мреже](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Лаб](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Трансформери. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | | 19 | [Препознавање именованих ентитета](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Лаб](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Велики језички модели, програмирање упита и задаци са мало примера](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| 20 | [Велики језички модели, програмирање упита и задатци са мало примера](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Друге AI технике** || | | 21 | [Генетски алгоритми](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Бележница](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Дубоко појачано учење](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Лаб](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [Мултиагентни системи](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **Етика вештачке интелигенције** | | | -| 24 | [Етика вештачке интелигенције и одговорна AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Принципи одговорне AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| 22 | [Дубоко учење појачањем](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Лаб](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [Системи са више агената](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| VII | **Етика у вези са AI** | | | +| 24 | [Етика везана за AI и одговоран AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Принципи одговорног AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Додатно** | | | -| 25 | [Мулти-модалне мреже, CLIP и VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Бележница](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 25 | [Вишемодалне мреже, CLIP и VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Бележница](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Свака лекција садржи * Материјал за претходно читање -* Извршиви Jupyter бележници, који су често специфични за фрејмворк (**PyTorch** или **TensorFlow**). Извршиви бележник такође садржи много теоријског материјала, па да бисте разумели тему потребно је проћи кроз бар једну верзију бележника (било PyTorch или TensorFlow). -* **Лабораторије** доступне за неке теме, које вам пружају прилику да примените материјал који сте научили на конкретан проблем. -* Неке секције садрже линкове ка [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) модулима који покривају повезане теме. +* Извршиве Јупитер бележнице, које су често специфичне за оквир (**PyTorch** или **TensorFlow**). Извршива бележница такође садржи велики број теоријских материјала, па да бисте разумели тему потребно је да прођете кроз најмање једну верзију бележнице (или PyTorch или TensorFlow). +* **Лабораторије** доступне за неке теме, које вам пружају могућност да примените научени материјал на конкретан проблем. +* Неки одељци садрже линкове ка [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) модулима који обрађују сродне теме. -## Почетак рада +## Започињање -### 🎯 Нов у AI? Почните овде! +### 🎯 Нови у AI? Почните овде! -Ако сте потпуно нови у AI и желите брзе, практичне примере, погледајте наше [**Примере прилагођене почетницима**](./examples/README.md)! Они укључују: +Ако сте потпуно нови у AI и желите брзе, практичне примере, погледајте наше [**Примере прилагођене почетницима**](./examples/README.md)! Ово укључује: - 🌟 **Здраво AI свет** - Ваш први AI програм (препознавање образаца) -- 🧠 **Проста неуронска мрежа** - Изградите неуронску мрежу од нуле -- 🖼️ **Класификатор слика** - Класификујте слике уз детаљне коментаре -- 💬 **Текстуални сентимент** - Анализирајте позитиван/негативан текст +- 🧠 **Једноставна неуронска мрежа** - Направите неуронску мрежу од почетка +- 🖼️ **Класификатор слика** - Класификујте слике са детаљним коментарима +- 💬 **Сентимент текста** - Анализирајте позитиван/негативан текст -Ови примери су осмишљени да вам помогну да разумете концепте вештачке интелигенције пре него што се упустите у цео наставни програм. +Ови примери су дизајнирани да вам помогну да разумете AI концепте пре него што зароните у цео курс. -### 📚 Постављање целокупног наставног програма +### 📚 Постављање целог курса -- Направили смо [припремни час](./lessons/0-course-setup/setup.md) који ће вам помоћи при постављању развојног окружења. - За едукаторе, направили смо и [час за подешавање курикулума](./lessons/0-course-setup/for-teachers.md) за вас! -- Како да [покренете код у VSCode или Codepace](./lessons/0-course-setup/how-to-run.md) +- Креирали смо [постављање лекције](./lessons/0-course-setup/setup.md) да вам помогнемо са подешавањем развојног окружења. - За предаваче, такође смо креирали [постављање наставног плана](./lessons/0-course-setup/for-teachers.md)! +- Како да [пустите код у VSCode или Codepace](./lessons/0-course-setup/how-to-run.md) Пратите ове кораке: -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +Форк-ујте Репозиторијум: Кликните на дугме "Fork" у горњем десном углу ове странице. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Клонирајте Репозиторијум: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +Не заборавите да ставите звездицу (🌟) на овај репозиторијум да бисте га касније лакше пронашли. -## Упознајте остале учеснике +## Упознајте друге учеснике -Придружите се нашем [званичном AI Discord серверу](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) да бисте упознали и повезали се са другим учесницима који похађају овај курс и добили подршку. +Придружите се нашем [службеном AI Discord серверу](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) да бисте упознали и умрежили се са другим учесницима курса и добили подршку. -Ако имате повратне информације о производу или питања током израде посетите наш [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +Ако имате повратну информацију о производу или питања током прављења апликација, посетите наш [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) -## Квизови +## Квизови -> **Напомена о квизовима**: Сви квизови се налазе у фасцикли Quiz-app у etc\quiz-app, или [Онлајн овде](https://ff-quizzes.netlify.app/) Они су повезани изнутра лекција апликација за квиз може се покренути локално или разврстати на Azure; следите упутства у фолдеру `quiz-app`. Они се постепено локализују. +> **Напомена о квизовима**: Сви квизови се налазе у Quiz-app фолдеру у etc\quiz-app, или [онлајн овде](https://ff-quizzes.netlify.app/) Они су повезани изнутра у лекцијама, квиз апликација се може покренути локално или поставити на Azure; пратите упутства у фолдеру `quiz-app`. Квизови се постепено локализују. ## Тражи се помоћ -Имате ли предлоге или сте пронашли правописне или код грешке? Отворите issue или направите pull request. +Имате ли предлоге или сте пронашли правописне или код грешке? Отворите issue или креирајте pull request. ## Посебне захвалности -* **✍️ Главни аутор:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 Уредник:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Илустратор скиц-нота:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ Аутор квизова:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Главни сарадници:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **✍️ Главни аутор:** [Dmitry Soshnikov](http://soshnikov.com), доктор наука +* **🔥 Редактор:** [Jen Looper](https://twitter.com/jenlooper), доктор наука +* **🎨 Илустратор скичнота:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ Креатор квизова:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 Језгрови сарадници:** [Evgenii Pishchik](https://github.com/Pe4enIks) ## Остали курикулуми -Наш тим прави и друге курикулуме! Погледајте: +Наш тим производи и друге курикулуме! Погледајте: ### LangChain -[![LangChain4j за почетнике](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) -[![LangChain.js за почетнике](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) +[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- -### Azure / Edge / MCP / Агенти -[![AZD за почетнике](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Edge AI за почетнике](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![MCP за почетнике](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![AI Agents за почетнике](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +### Azure / Edge / MCP / Agents +[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### Серија генеративне вештачке интелигенције -[![Generative AI за почетнике](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +### Серия генеративног AI +[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) [![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) @@ -188,35 +199,35 @@ Don't forget to star (🌟) this repo to find it easier later. --- ### Основно учење -[![ML за почетнике](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![Data Science за почетнике](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) -[![AI за почетнике](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) -[![Cybersecurity за почетнике](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) -[![Web Dev за почетнике](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) -[![IoT за почетнике](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) -[![XR Development за почетнике](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) +[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) +[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) +[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) +[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### Серија Copilot -[![Copilot за парно програмирање са AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) -[![Copilot за C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![Copilot авантура](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) +### Серия Copilot +[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) +[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) ## Добијање помоћи -If you get stuck or have any questions about building AI apps. Join fellow learners and experienced developers in discussions about MCP. It's a supportive community where questions are welcome and knowledge is shared freely. +Ако запнете или имате било каквих питања о креирању AI апликација. Придружите се другим учесницима и искусним програмерима у дискусијама о MCP-у. То је подржавајућа заједница где су питања добродошла и знање се слободно дели. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -If you have product feedback or errors while building visit: +Ако имате повратне информације о производу или грешке током прављења посетите: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -Одрицање одговорности: -Овај документ је преведен помоћу услуге за превођење засноване на вештачкој интелигенцији [Co-op Translator](https://github.com/Azure/co-op-translator). Иако настојимо да превод буде тачан, молимо имајте у виду да аутоматски преводи могу садржати грешке или нетачности. Оригинални документ на његовом изворном језику треба сматрати ауторитетним извором. За критичне информације препоручује се професионални превод који изводи стручни преводилац. Не сносимо одговорност за било какве неспоразуме или погрешна тумачења која произилазе из коришћења овог превода. +**Одрицање од одговорности**: +Овај документ је преведен коришћењем услуге за машински превод [Co-op Translator](https://github.com/Azure/co-op-translator). Иако се трудимо да превод буде тачан, имајте у виду да аутоматизовани преводи могу садржати грешке или нетачности. Оригинални документ на његовом матерњем језику треба сматрати ауторитетним извором. За критичне информације препоручује се стручни људски превод. Нисмо одговорни за било какве неспоразуме или неправилна тумачења настала употребом овог превода. \ No newline at end of file