diff --git a/translations/hr/README.md b/translations/hr/README.md index 55ec5cde..a97a0000 100644 --- a/translations/hr/README.md +++ b/translations/hr/README.md @@ -1,134 +1,145 @@ -[![GitHub licenca](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![GitHub doprinositelji](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![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/) -[![PR-ovi dobrodošli](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![GitHub pratitelji](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![GitHub forkovi](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![GitHub zvijezde](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) -# Umjetna inteligencija za početnike - Nastavni program +# Umjetna inteligencija za početnike - Nastavni plan -|![Sketchnota autora @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.hr.png)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.hr.png)| |:---:| -| AI For Beginners - _Sketchnota autora [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI za početnike - _Sketchnote autora [@girlie_mac](https://twitter.com/girlie_mac)_ | + +Istražite svijet **umjetne inteligencije** (UI) s našim 12-tjednim nastavnim planom koji uključuje 24 lekcije! Uključuje praktične lekcije, kvizove i laboratorijske vježbe. Nastavni plan je prilagođen početnicima i pokriva alate poput TensorFlow i PyTorch, kao i etiku u UI -Explore the world of **umjetne inteligencije** (AI) with our 12-week, 24-lesson curriculum! It includes practical lessons, quizzes, and labs. The curriculum is beginner-friendly and covers tools like TensorFlow and PyTorch, as well as ethics in AI ### 🌐 Podrška za više jezika -#### Podržano putem GitHub Action (Automatizirano i uvijek ažurno) +#### Podržano putem GitHub Action (automatizirano i uvijek ažurirano) -[Arapski](../ar/README.md) | [Bengalski](../bn/README.md) | [Bugarski](../bg/README.md) | [Burmanski (Myanmar)](../my/README.md) | [Kineski (pojednostavljeni)](../zh/README.md) | [Kineski (tradicionalni, Hong Kong)](../hk/README.md) | [Kineski (tradicionalni, Macau)](../mo/README.md) | [Kineski (tradicionalni, Taiwan)](../tw/README.md) | [Hrvatski](./README.md) | [Češki](../cs/README.md) | [Danski](../da/README.md) | [Nizozemski](../nl/README.md) | [Estonski](../et/README.md) | [Finski](../fi/README.md) | [Francuski](../fr/README.md) | [Njemački](../de/README.md) | [Grčki](../el/README.md) | [Hebrejski](../he/README.md) | [Hindi](../hi/README.md) | [Mađarski](../hu/README.md) | [Indonezijski](../id/README.md) | [Talijanski](../it/README.md) | [Japanski](../ja/README.md) | [Kannada](../kn/README.md) | [Korejski](../ko/README.md) | [Litvanski](../lt/README.md) | [Malajski](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalski](../ne/README.md) | [Nigerijski Pidgin](../pcm/README.md) | [Norveški](../no/README.md) | [Perzijski (Farsi)](../fa/README.md) | [Poljski](../pl/README.md) | [Portugalski (Brazil)](../br/README.md) | [Portugalski (Portugal)](../pt/README.md) | [Pandžapski (Gurmukhi)](../pa/README.md) | [Rumunjski](../ro/README.md) | [Ruski](../ru/README.md) | [Srpski (ћирилица)](../sr/README.md) | [Slovački](../sk/README.md) | [Slovenski](../sl/README.md) | [Španjolski](../es/README.md) | [Svahili](../sw/README.md) | [Švedski](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Tajlandski](../th/README.md) | [Turski](../tr/README.md) | [Ukrajinski](../uk/README.md) | [Urdu](../ur/README.md) | [Vijetnamski](../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](./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) + +> **Radije klonirati lokalno?** + +> Ovaj repozitorij sadrži više od 50 prijevoda jezika što značajno povećava veličinu preuzimanja. Za kloniranje bez prijevoda, koristite 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' +> ``` +> Ovo vam daje sve što trebate za završetak tečaja uz znatno brže preuzimanje. -**Ako želite dodatne prijevode, podržani jezici su navedeni [ovdje](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Ako želite da dodatni jezici budu podržani, dostupni su na popisu [ovdje](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Pridružite se zajednici [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) ## Što ćete naučiti -**[Mindmap tečaja](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[Mapa uma tečaja](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -U ovom nastavnom programu naučit ćete: +U ovom nastavnom planu naučit ćete: -* Različiti pristupi umjetnoj inteligenciji, uključujući "stari dobri" simbolički pristup s **Reprezentacijom znanja** i zaključivanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Neuronske mreže** i **Duboko učenje**, koje su u središtu moderne AI. Pojmove iza ovih važnih tema ilustrirat ćemo koristeći kod u dva od najpopularnijih okvira - [TensorFlow](http://Tensorflow.org) i [PyTorch](http://pytorch.org). -* **Neuronske arhitekture** za rad sa slikama i tekstom. Pokrit ćemo nedavne modele, ali možda ćemo biti malo oskudni u pogledu najnovijih dostignuća. -* Manje popularni pristupi AI-u, poput **genetskih algoritama** i **sustava više agenata**. +* Različite pristupe umjetnoj inteligenciji, uključujući "dobri stari" simbolički pristup s **predstavljanjem znanja** i zaključivanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Neuronske mreže** i **Duboko učenje**, koje su u središtu moderne UI. Koncepte iza ovih važnih tema ilustrirat ćemo pomoću koda u dva najpopularnija okvira - [TensorFlow](http://Tensorflow.org) i [PyTorch](http://pytorch.org). +* **Neuronske arhitekture** za obradu slika i teksta. Pokrit ćemo nedavne modele, ali možda ćemo biti nešto ograničeni u najnovijim dostignućima. +* Manje popularne pristupe UI, kao što su **Genetski algoritmi** i **sustavi s više agenata**. -Što nećemo obuhvatiti u ovom nastavnom programu: +Što nećemo pokriti u ovom nastavnom planu: > [Pronađite sve dodatne resurse za ovaj tečaj u našoj Microsoft Learn kolekciji](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Poslovni slučajevi primjene **AI u poslovanju**. Razmislite o praćenju puta učenja [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, ili [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvijen u suradnji s [INSEAD](https://www.insead.edu/). -* **Klasično strojno učenje**, koje je dobro opisano u našem [Nastavnom programu strojnog učenja za početnike](http://github.com/Microsoft/ML-for-Beginners). -* Praktične AI primjene izgrađene pomoću **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za to preporučujemo da započnete s modulima Microsoft Learn za [računalni vid](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [obradu prirodnog jezika](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativni AI s Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** i druge. -* Specifični ML **okviri u oblaku**, kao što su [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), ili [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Razmislite o korištenju [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) i [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) putova učenja. -* **Konverzacijska AI** i **chatbotovi**. Postoji zaseban [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) put učenja, a također možete pogledati i [ovu objavu na blogu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) za više detalja. -* **Duboka matematika** iza dubokog učenja. Za to preporučujemo [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autora Iana Goodfellowa, Yoshue Bengioa i Aarona Courvillea, koja je također dostupna online na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Poslovne primjere korištenja **UI u poslovanju**. Razmotrite pohađanje [Uvod u UI za poslovne korisnike](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn ili [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvijen u suradnji s [INSEAD](https://www.insead.edu/). +* **Klasično strojno učenje**, koje je dobro opisano u našem [Nastavnom planu za strojarstvo za početnike](http://github.com/Microsoft/ML-for-Beginners). +* Praktične AI primjene izgrađene koristeći **[Kognitivne usluge](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za to preporučujemo da započnete s modulima Microsoft Learn o [vidu](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [obradi prirodnog jezika](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativnoj UI s Azure OpenAI uslugom](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** i drugim. +* Specifične ML **cloud okvire**, poput [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) ili [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Razmotrite korištenje nastavnih putova [Izgradite i upravljajte rješenjima strojnog učenja s Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) i [Izgradite i upravljajte rješenjima strojnog učenja s Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Razgovorna UI** i **chat botovi**. Postoji poseban [nastavni put za stvaranje razgovornih UI rješenja](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), a možete se također obratiti [ovom blogu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) za više detalja. +* **Duboka matematika** iza dubokog učenja. Za to preporučujemo [Duboko učenje](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autora Iana Goodfellowa, Yoshue Bengioa i Aarona Courvillea, koja je dostupna i online na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Za blagi uvod u teme _AI u oblaku_ razmislite o praćenju puta učenja [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. +Za nježni uvod u teme _UI u oblaku_ možete razmotriti [Nastavni put: Početak rada s umjetnom inteligencijom na Azureu](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Sadržaj -| | Poveznica na lekciju | PyTorch/Keras/TensorFlow | Lab | +| | Poveznica na lekciju | PyTorch/Keras/TensorFlow | Laboratorij | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Postavljanje tečaja](./lessons/0-course-setup/setup.md) | [Postavite svoje razvojno okruženje](./lessons/0-course-setup/how-to-run.md) | | -| I | [**Uvod u AI**](./lessons/1-Intro/README.md) | | | -| 01 | [Uvod i povijest AI](./lessons/1-Intro/README.md) | - | - | -| II | **Simbolička AI** | -| 02 | [Reprezentacija znanja i ekspertni sustavi](./lessons/2-Symbolic/README.md) | [Ekspertni sustavi](./lessons/2-Symbolic/Animals.ipynb) / [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf pojmova](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| 0 | [Postavljanje tečaja](./lessons/0-course-setup/setup.md) | [Postavljanje razvojnog okruženja](./lessons/0-course-setup/how-to-run.md) | | +| I | [**Uvod u UI**](./lessons/1-Intro/README.md) | | | +| 01 | [Uvod i povijest UI](./lessons/1-Intro/README.md) | - | - | +| II | **Simbolička UI** | +| 02 | [Predstavljanje znanja i ekspertni sustavi](./lessons/2-Symbolic/README.md) | [Ekspertni sustavi](./lessons/2-Symbolic/Animals.ipynb) / [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf koncepata](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Uvod u neuronske mreže**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Bilježnica](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratorij](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Višeslojni perceptron i stvaranje vlastitog okvira](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Bilježnica](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorij](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Uvod u frameworke (PyTorch/TensorFlow) i prenaučenost](./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) | [Laboratorij](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Računalni vid**](./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)| [Istražite računalni vid na Microsoft Azureu](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 04 | [Višeslojni Perceptron i Izrada vlastitog okvira](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Bilježnica](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorij](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Uvod u Okvire (PyTorch/TensorFlow) i Prenaučavanje](./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) | [Laboratorij](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Računalni vid**](./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)| [Istražite računalni vid na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | | 06 | [Uvod u računalni vid. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Bilježnica](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratorij](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Konvolucijske neuronske mreže](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arhitekture CNN-a](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Prethodno trenirane mreže i transferno učenje](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Savjeti za treniranje](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [Autoenkoderi i VAE-i](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Generativne suparničke mreže i prijenos umjetničkog stila](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 07 | [Konvolucijske neuronske mreže](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN arhitekture](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Prije-trenirane mreže i prijenosno učenje](./lessons/4-ComputerVision/08-TransferLearning/README.md) i [Trikovi treniranja](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [Autoenkoderi i 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 | [Generativne natjecateljske mreže i prijenos umjetničkog stila](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Detekcija objekata](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorij](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Semantička segmentacija. 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 | [**Obrada prirodnog jezika**](./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) | [Istražite obradu prirodnog jezika na Microsoft Azureu](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Reprezentacija teksta. 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 | [Semantičke reprezentacije riječi. Word2Vec i 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 | [Modeliranje jezika. Treniranje vlastitih ugradnji riječi](./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) | [Laboratorij](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| V | [**Obrada prirodnog jezika**](./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) | [Istražite obradu prirodnog jezika na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [Predstavljanje teksta. 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 | [Semantičke riječne ugrađenosti. Word2Vec i 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 | [Modeliranje jezika. Treniranje vlastitih ugradnji](./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) | [Laboratorij](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [Rekurentne neuronske mreže](./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 | [Generativne rekurentne mreže](./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) | [Laboratorij](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Transformeri. 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 | [Prepoznavanje imenovanih entiteta](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratorij](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Veliki jezični modeli, programiranje prompta i zadaci s malo primjera](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| 20 | [Veliki modeli jezika, programiranje promptova i few-shot zadaci](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Ostale AI tehnike** || | | 21 | [Genetski algoritmi](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Bilježnica](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Duboko pojačano učenje](./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) | [Laboratorij](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 22 | [Duboko učenje s pojačanjem](./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) | [Laboratorij](./lessons/6-Other/22-DeepRL/lab/README.md) | | 23 | [Sustavi s više agenata](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **Etika umjetne inteligencije** | | | -| 24 | [Etika umjetne inteligencije i odgovorna AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principi odgovorne umjetne inteligencije](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| 24 | [Etika umjetne inteligencije i odgovorna AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principi odgovorne AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Dodatno** | | | | 25 | [Višemodalne mreže, CLIP i VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Bilježnica](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Svaka lekcija sadrži -* Materijale za predčitanje -* Izvršne Jupyter bilježnice, koje su često specifične za framework (**PyTorch** ili **TensorFlow**). Izvršna bilježnica također sadrži puno teorijskog materijala, pa da biste razumjeli temu trebate proći barem jednu verziju bilježnice (bilo PyTorch ili TensorFlow). -* **Laboratoriji** dostupni za neke teme, koji vam pružaju priliku da pokušate primijeniti materijal koji ste naučili na određeni problem. -* Neki odjeljci sadrže poveznice na [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) module koji pokrivaju povezane teme. +* Materijal za prethodno čitanje +* Izvršne Jupyter bilježnice, često specifične za okvir (**PyTorch** ili **TensorFlow**). Izvršna bilježnica također sadrži mnogo teorijskog materijala, pa je za razumijevanje teme potrebno proći kroz barem jednu verziju bilježnice (bilo PyTorch ili TensorFlow). +* **Laboratorije** dostupne za neke teme, koje vam daju mogućnost da isprobate primjenu naučenog na određenom problemu. +* Neki dijelovi sadrže poveznice na module [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) koji pokrivaju povezane teme. ## Početak -### 🎯 Novi u AI-u? Počnite ovdje! +### 🎯 Novi ste u AI? Počnite ovdje! -Ako ste potpuno novi u AI-u i želite brze, praktične primjere, pogledajte naše [**Primjere za početnike**](./examples/README.md)! Oni uključuju: +Ako ste potpuno novi u AI i želite brze, praktične primjere, pogledajte naše [**Primjere prilagođene početnicima**](./examples/README.md)! Oni uključuju: -- 🌟 **Hello AI World** - Vaš prvi AI program (prepoznavanje uzoraka) +- 🌟 **Pozdrav svijetu AI-a** - Vaš prvi AI program (prepoznavanje uzoraka) - 🧠 **Jednostavna neuronska mreža** - Izgradite neuronsku mrežu od nule - 🖼️ **Klasifikator slika** - Klasificirajte slike s detaljnim komentarima -- 💬 **Tekstualni sentiment** - Analizirajte pozitivni/negativni tekst +- 💬 **Sentiment teksta** - Analizirajte pozitivan/negativan tekst -Ovi primjeri su osmišljeni kako bi vam pomogli razumjeti AI koncepte prije nego što prijeđete na puni kurikulum. +Ovi primjeri su dizajnirani da vam pomognu razumjeti AI koncepte prije nego što prijeđete na cjelokupni kurikulum. -### 📚 Postavljanje cijelog kurikuluma +### 📚 Postavljanje cjelokupnog kurikuluma -- Napravili smo [lekciju za postavljanje](./lessons/0-course-setup/setup.md) kako bismo vam pomogli pri postavljanju razvojne okoline. - Za edukatore, također smo pripremili [lekciju o postavljanju kurikuluma](./lessons/0-course-setup/for-teachers.md) za vas! -- Kako [pokrenuti kod u VSCode-u ili Codepaceu](./lessons/0-course-setup/how-to-run.md) +- Izradili smo [lekciju za postavljanje](./lessons/0-course-setup/setup.md) koja će vam pomoći s postavljanjem razvojne okoline. - Za nastavnike smo također izradili [lekciju za postavljanje kurikuluma](./lessons/0-course-setup/for-teachers.md)! +- Kako [pokrenuti kod u VSCode ili Codepace](./lessons/0-course-setup/how-to-run.md) Slijedite ove korake: @@ -136,87 +147,87 @@ Forkajte repozitorij: Kliknite na gumb "Fork" u gornjem desnom kutu ove stranice Klonirajte repozitorij: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Ne zaboravite označiti zvjezdicom (🌟) ovaj repozitorij kako biste ga lakše pronašli kasnije. +Ne zaboravite označiti (🌟) ovaj repozitorij da biste ga lakše pronašli kasnije. -## Upoznajte druge polaznike +## Upoznajte druge učenike -Pridružite se našem [službenom AI Discord serveru](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) kako biste se upoznali i povezali s drugim polaznicima ovog tečaja te dobili podršku. +Pridružite se našem [službenom AI Discord serveru](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) da upoznate i povežete se s drugim polaznicima ovog tečaja te dobijete podršku. -Ako imate povratne informacije o proizvodu ili pitanja tijekom izrade posjetite naš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +Ako imate povratne informacije ili pitanja tijekom izrade, posjetite naš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum). -## Kvizovi +## Kvizovi -> **Napomena o kvizovima**: Svi kvizovi se nalaze u mapi Quiz-app u etc\quiz-app, ili [Online ovdje](https://ff-quizzes.netlify.app/) Povezani su iz lekcija; aplikacija kvizova može se pokrenuti lokalno ili postaviti na Azure; slijedite upute u mapi `quiz-app`. Postupno se lokaliziraju. +> **Napomena o kvizovima**: Svi kvizovi nalaze se u mapi Quiz-app u etc\quiz-app, ili [Online Ovdje](https://ff-quizzes.netlify.app/). Povezani su iz lekcija, aplikacija za kvizove može se pokrenuti lokalno ili postaviti na Azure; slijedite upute u mapi `quiz-app`. Postupno se lokaliziraju. -## Potrebna pomoć +## Treba pomoć -Imate li prijedloge ili ste pronašli pravopisne ili greške u kodu? Otvorite issue ili pošaljite pull request. +Imate li prijedloge ili ste pronašli pravopisne ili programske greške? Otvorite problem (issue) ili kreirajte zahtjev za promjenu (pull request). ## Posebna zahvala * **✍️ Glavni autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Urednik:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Ilustrator sketchnote-a:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ Autor kvizova:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🎨 Ilustrator skica:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ Kreator kvizova:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) * **🙏 Glavni suradnici:** [Evgenii Pishchik](https://github.com/Pe4enIks) ## Ostali kurikulumi -Naš tim stvara i druge kurikulume! Pogledajte: +Naš tim proizvodi i druge kurikulume! Pogledajte: ### LangChain -[![LangChain4j za početnike](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 za početnike](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 / Agenti -[![AZD za početnike](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 za početnike](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 za početnike](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 za početnike](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) +[![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) --- - -### Serija generativne AI -[![Generativna AI za početnike](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) -[![Generativna 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) -[![Generativna 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) -[![Generativna 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) + +### Serija Generativnog 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) --- - -### Temeljno učenje -[![ML za početnike](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 za početnike](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 za početnike](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) -[![Kibernetička sigurnost za početnike](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 razvoj za početnike](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 za početnike](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 razvoj za početnike](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) + +### Osnovno učenje +[![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) --- - -### Serija Copilot -[![Copilot za AI programiranje u paru](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 za 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 avantura](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) + +### Serija Copilota +[![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) ## Dobivanje pomoći -Ako zapnete ili imate bilo kakvih pitanja o izradi AI aplikacija. Pridružite se drugim polaznicima i iskusnim programerima u raspravama o MCP-u. To je podržavajuća zajednica u kojoj su pitanja dobrodošla i znanje se slobodno dijeli. +Ako zapnete ili imate pitanja u vezi izrade AI aplikacija, pridružite se kolegama polaznicima i iskusnim programerima u raspravama o MCP-u. To je poticajna zajednica gdje su pitanja dobrodošla, a znanje slobodno dijeljeno. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Ako imate povratne informacije o proizvodu ili pronalazite pogreške tijekom izrade posjetite: +Ako imate povratne informacije o proizvodu ili probleme tijekom izrade posjetite: [![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) --- -Odricanje odgovornosti: -Ovaj je dokument preveden uz pomoć AI usluge prijevoda [Co-op Translator](https://github.com/Azure/co-op-translator). Iako težimo točnosti, imajte na umu da automatski prijevodi mogu sadržavati pogreške ili netočnosti. Originalni dokument na izvornom jeziku treba smatrati autoritativnim izvorom. Za kritične informacije preporučuje se profesionalni prijevod od strane ljudskog prevoditelja. Ne snosimo odgovornost za bilo kakve nesporazume ili pogrešne interpretacije koje proisteknu iz korištenja ovog prijevoda. +**Izjava o odricanju od odgovornosti**: +Ovaj je dokument preveden korištenjem AI usluge za prevođenje [Co-op Translator](https://github.com/Azure/co-op-translator). Iako nastojimo postići točnost, imajte na umu da automatizirani prijevodi mogu sadržavati pogreške ili netočnosti. Izvorni dokument na izvornom jeziku treba smatrati autoritativnim izvorom. Za kritične informacije preporučujemo profesionalni ljudski prijevod. Ne odgovaramo za bilo kakve nesporazume ili kriva tumačenja koja proizlaze iz korištenja ovog prijevoda. \ No newline at end of file diff --git a/translations/lt/README.md b/translations/lt/README.md index 90dcae5a..e65bca77 100644 --- a/translations/lt/README.md +++ b/translations/lt/README.md @@ -1,168 +1,179 @@ -[![GitHub licencija](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![GitHub prisidėjusieji](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![GitHub problemos](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![GitHub pull prašymai](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PRs laukiami](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 stebėtojai](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![GitHub fork'ai](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![GitHub žvaigždės](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) -# Dirbtinis intelektas pradedantiesiems - Mokymo programa +# Dirbtinis intelektas pradedantiesiems - mokymo programa -|![Sketchnote autorius @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.lt.png)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.lt.png)| |:---:| -| Dirbtinis intelektas pradedantiesiems - _Sketchnote autorius [@girlie_mac](https://twitter.com/girlie_mac)_ | +| Dirbtinis intelektas pradedantiesiems - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ | -Explore the world of **Dirbtinio intelekto** (DI) with our 12-week, 24-lesson curriculum! It includes practical lessons, quizzes, and labs. The curriculum is beginner-friendly and covers tools like TensorFlow and PyTorch, as well as ethics in AI +Atraskite **dirbtinio intelekto** (DI) pasaulį su mūsų 12 savaičių, 24 pamokų mokymo programa! Joje yra praktiškų pamokų, testų ir laboratorinių darbų. Mokymo programa skirta pradedantiesiems ir apima tokius įrankius kaip TensorFlow ir PyTorch, taip pat etikos klausimus DI srityje. -### 🌐 Daugiakalbė parama -#### Palaikoma per GitHub Action (automatizuota ir visada atnaujinama) +### 🌐 Daugialypė kalbų palaikymas + +#### Palaikoma per GitHub Action (automatizuota ir visada atnaujinta) -[Arabų](../ar/README.md) | [Bengalų](../bn/README.md) | [Bulgarų](../bg/README.md) | [Birmos (Mianmaras)](../my/README.md) | [Kinų (supaprastintoji)](../zh/README.md) | [Kinų (tradicinė, Honkongas)](../hk/README.md) | [Kinų (tradicinė, Makao)](../mo/README.md) | [Kinų (tradicinė, Taivanas)](../tw/README.md) | [Kroatų](../hr/README.md) | [Čekų](../cs/README.md) | [Danų](../da/README.md) | [Olandų](../nl/README.md) | [Estų](../et/README.md) | [Suomių](../fi/README.md) | [Prancūzų](../fr/README.md) | [Vokiečių](../de/README.md) | [Graikų](../el/README.md) | [Hebrajų](../he/README.md) | [Hindi](../hi/README.md) | [Vengrų](../hu/README.md) | [Indoneziečių](../id/README.md) | [Italų](../it/README.md) | [Japonų](../ja/README.md) | [Kannadų](../kn/README.md) | [Korėjiečių](../ko/README.md) | [Lietuvių](./README.md) | [Malajų](../ms/README.md) | [Malajalamų](../ml/README.md) | [Maratų](../mr/README.md) | [Nepaliečių](../ne/README.md) | [Nigerijos pidžino](../pcm/README.md) | [Norvegų](../no/README.md) | [Persų (farsi)](../fa/README.md) | [Lenkų](../pl/README.md) | [Portugalų (Brazilija)](../br/README.md) | [Portugalų (Portugalija)](../pt/README.md) | [Pandžabų (Gurmukhi)](../pa/README.md) | [Rumunų](../ro/README.md) | [Rusų](../ru/README.md) | [Serbų (kirilica)](../sr/README.md) | [Slovakų](../sk/README.md) | [Slovenų](../sl/README.md) | [Ispanų](../es/README.md) | [Svahili](../sw/README.md) | [Švedų](../sv/README.md) | [Tagalog (filipiniečių)](../tl/README.md) | [Tamilų](../ta/README.md) | [Telugų](../te/README.md) | [Tajų](../th/README.md) | [Turkų](../tr/README.md) | [Ukrainiečių](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamiečių](../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](./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) + +> **Pageidaujate klonuoti lokaliai?** + +> Šis saugykla apima daugiau nei 50 kalbų vertimų, kurie žymiai padidina atsisiuntimo dydį. Norėdami klonuoti be vertimų, naudokite 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' +> ``` +> Tai suteiks jums viską, ko reikia kursui užbaigti, žymiai greičiau atsisiunčiant. -**Jei norite, kad būtų pridėta daugiau vertimų, palaikomos kalbos išvardytos [čia](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Jei norite, kad būtų palaikomos papildomos vertimų kalbos, jos yra išvardytos [čia](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Prisijunkite prie bendruomenės [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## Ką išmoksite +## Ko išmoksite -**[Kurso minčių žemėlapis](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[Kurso protokolas](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -Šioje mokymo programoje jūs išmoksite: +Šioje mokymo programoje išmoksite: -* Skirtingi Dirbtinio intelekto požiūriai, įskaitant „seną gerą“ simbolinį požiūrį su **Žinių reprezentacija** ir samprotavimu ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Neuroniniai tinklai** ir **gilaus mokymosi** metodai, kurie yra moderniojo DI šerdis. Paaiškinsime šių svarbių temų konceptus naudodami kodą dviejuose populiariausiuose karkasuose - [TensorFlow](http://Tensorflow.org) ir [PyTorch](http://pytorch.org). -* **Neuroninės architektūros** darbui su vaizdais ir tekstu. Aptarsime naujausius modelius, tačiau gali būti, kad nesieksime paties pažangiausio lygio. -* Mažiau populiarūs DI požiūriai, tokie kaip **genetiniai algoritmai** ir **daugiagentės sistemos**. +* Skirtingus dirbtinio intelekto požiūrius, įskaitant „gerą seną“ simbolinį požiūrį su **žinių reprezentacija** ir loginio samprotavimo principais ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Neuroninius tinklus** ir **gilųjį mokymąsi**, kurie yra šiuolaikinio DI pagrindas. Demonstruosime svarbiausias šių temų sąvokas naudojant kodą dviejose populiariausiose aplinkose - [TensorFlow](http://Tensorflow.org) ir [PyTorch](http://pytorch.org). +* **Neuronines architektūras**, skirtas darbui su vaizdais ir tekstu. Apžvelgsime naujausius modelius, nors gali būti, kad būsime šiek tiek atsiliekantys nuo naujausių technologijų. +* Mažiau populiarius DI metodus, tokius kaip **genetiniai algoritmai** ir **daugiagentinės sistemos**. -Ko ši mokymo programa neapims: +Ko mes neapimsime šioje mokymo programoje: -> [Raskite visas papildomas šio kurso medžiagas mūsų Microsoft Learn rinkinyje](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Raskite visas papildomas šio kurso medžiagas mūsų Microsoft Learn kolekcijoje](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Verslo atvejai, kaip naudoti **DI versle**. Apsvarstykite galimybę atlikti [Įvadą į DI verslo naudotojams](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) Microsoft Learn mokymosi kelią arba [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), sukurtą bendradarbiaujant su [INSEAD](https://www.insead.edu/). -* **Klasikinis mašininis mokymasis**, kuris gerai aprašytas mūsų [Mašininio mokymosi pradedantiesiems mokymo programoje](http://github.com/Microsoft/ML-for-Beginners). -* Praktinės DI programos, sukurtos naudojant **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Tam rekomenduojame pradėti nuo Microsoft Learn modulių apie [kompiuterinį matymą](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natūralios kalbos apdorojimą](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatyvus DI su Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ir kt. -* Konkrečios ML **debesis palaikančios platformos**, tokios kaip [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) arba [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Apsvarstykite galimybę naudoti mokymosi kelius [Kurti ir valdyti mašininio mokymosi sprendimus su Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ir [Kurti ir valdyti mašininio mokymosi sprendimus su Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **Pokalbių DI** ir **pokalbių robotai**. Yra atskiras [Sukurti pokalbių DI sprendimus](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) mokymosi kelias, taip pat galite kreiptis į [šią tinklaraščio įrašą](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) dėl išsamesnės informacijos. -* Gylis matematikoje, esantis už giluminio mokymosi. Tam rekomenduojame Ian Goodfellow, Yoshua Bengio ir Aaron Courville knygą [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618), kuri taip pat prieinama internete [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Verslo atvejų panaudojimą **DI versle**. Apsvarstykite galimybę pasirinkti [Dirbtinio intelekto įvadą verslo naudotojams](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) Microsoft Learn arba [DI verslo mokyklą](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), kurį sukūrė bendradarbiaujant su [INSEAD](https://www.insead.edu/). +* **Klasikinį mašininį mokymąsi**, kuris gerai aprašytas mūsų [Mašininio mokymosi pradedantiesiems programoje](http://github.com/Microsoft/ML-for-Beginners). +* Praktines DI taikymas, naudojant **[Kognityvines paslaugas](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Tam rekomenduojame pradėti su Microsoft Learn moduliais apie [vaizdus](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natūralios kalbos apdorojimą](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[generatyvinį DI su Azure OpenAI paslauga](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ir kitus. +* Specifines ML **debesų sistemas**, tokias kaip [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) arba [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Apsvarstykite galimybę naudoti mokymosi kelius [Kurti ir valdyti mašininio mokymosi sprendimus su Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ir [Kurti ir valdyti mašininio mokymosi sprendimus su Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Pašnekovų DI** ir **pokalbių robotus**. Tam yra atskiras mokymosi kelias [Sukurti pašnekovų DI sprendimus](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), o taip pat galite pasiskaityti [šiame tinklaraščio įraše](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) dėl daugiau informacijos. +* **Gilusis matematikas**, slypintis giliajame mokymesi. Tam rekomenduojame knygą [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autoriai Ian Goodfellow, Yoshua Bengio ir Aaron Courville, kuri taip pat prieinama internete adresu [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Norint paprasto įvado į _DI debesyje_ temas, apsvarstykite [Pradėti darbą su dirbtiniu intelektu Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) mokymosi kelią. +Norėdami švelnaus įvado į _DI debesų_ temas, galite apsvarstyti [Pradėti dirbtiniu intelektu Azure platformoje](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) mokymosi kelią. # Turinys | | Pamokos nuoroda | PyTorch/Keras/TensorFlow | Laboratorija | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Kurso paruošimas](./lessons/0-course-setup/setup.md) | [Paruoškite savo kūrimo aplinką](./lessons/0-course-setup/how-to-run.md) | | +| 0 | [Kurso diegimas](./lessons/0-course-setup/setup.md) | [Sukurti vystymo aplinką](./lessons/0-course-setup/how-to-run.md) | | | I | [**Įvadas į DI**](./lessons/1-Intro/README.md) | | | -| 01 | [Įvadas ir DI istorija](./lessons/1-Intro/README.md) | - | - | +| 01 | [DI įvadas ir istorija](./lessons/1-Intro/README.md) | - | - | | II | **Simbolinis DI** | | 02 | [Žinių reprezentacija ir ekspertinės sistemos](./lessons/2-Symbolic/README.md) | [Ekspertinės sistemos](./lessons/2-Symbolic/Animals.ipynb) / [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptų grafas](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Įvadas į neuroninius tinklus**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Užrašinė](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratorija](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Daugiasluoksnis perceptronas ir savo karkaso kūrimas](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Užrašinė](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorija](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Įvadas į karkastus (PyTorch/TensorFlow) ir persimokymas](./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) | [Laboratorija](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| 03 | [Perceptronas](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Užrašų knygelė](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratorija](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [Daugiasluoksnis perceptronas ir savo paties sistema](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Užrašų knygelė](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorija](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Įvadas į sistemas (PyTorch/TensorFlow) ir perpratimas](./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) | [Laboratorija](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | | IV | [**Kompiuterinė rega**](./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)| [Tyrinėkite kompiuterinę regą Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Įvadas į kompiuterinę regą. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Užrašinė](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratorija](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Konvoliuciniai neuroniniai tinklai](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Architectures](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratorija](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Iš anksto apmokėti tinklai ir perkėlimo mokymasis](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Training Tricks](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorija](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 06 | [Įvadas į kompiuterinę regą. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Užrašų knygelė](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratorija](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [Konvoliuciniai neuroniniai tinklai](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN architektūros](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratorija](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Iš anksto apmokyti tinklai ir perdirbimo mokymasis](./lessons/4-ComputerVision/08-TransferLearning/README.md) ir [Mokymosi triukai](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorija](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Autoenkoderiai ir 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 | [Generatyviniai priešininkų tinklai ir meninio stiliaus perkėlimas](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 10 | [Generatyviniai priešpriešiniai tinklai ir meninio stiliaus perdavimas](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Objektų aptikimas](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorija](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Semantinė segmentacija. 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 | [**Natūralios kalbos apdorojimas**](./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) | [Tyrinėkite natūralios kalbos apdorojimą Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Teksto atvaizdavimas. 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 | [**Natūrali kalbos apdorojimas**](./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) | [Tyrinėkite natūralios kalbos apdorojimą Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [Teksto atvaizdavimas. 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 | [Semantiniai žodžių įterpimai. Word2Vec ir 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 | [Kalbos modeliavimas. Savo įterpimų mokymas](./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) | [Laboratorija](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 15 | [Kalbos modeliavimas. Mokykite savo įterpimus](./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) | [Laboratorija](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [Rekurentiniai neuroniniai tinklai](./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 | [Generatyviniai rekurentiniai tinklai](./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) | [Laboratorija](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | -| 18 | [Transformeriai. 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 | [Vardinių vienetų atpažinimas](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratorija](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Dideli kalbos modeliai, užklausų programavimas ir kelių pavyzdžių (few-shot) užduotys](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| 18 | [Transformatoriai. 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 | [Pavadintų entitetų atpažinimas](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratorija](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Dideli kalbos modeliai, užklausų programavimas ir keletas užduočių](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Kitos DI technikos** || | -| 21 | [Genetiniai algoritmai](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Užrašinė](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Giluminis sustiprinimo mokymasis](./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) | [Laboratorija](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [Daugiagentinės sistemos](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **Dirbtinio intelekto etika** | | | -| 24 | [Dirbtinio intelekto etika ir atsakingas DI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Atsakingo DI principai](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| 21 | [Genetiniai algoritmai](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Užrašų knygelė](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [Gilus mokymasis su stiprinimu](./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) | [Laboratorija](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [Daugiaveiksmai sistemos](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| VII | **DI etika** | | | +| 24 | [DI etika ir atsakingas DI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Atsakingo DI principai](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Papildoma medžiaga** | | | -| 25 | [Daugiamodaliniai tinklai, CLIP ir VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Užrašinė](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 25 | [Daugiapoliai tinklai, CLIP ir VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Užrašų knygelė](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Kiekviena pamoka apima -* Išankstinė medžiaga -* Vykdomieji Jupyter užrašynai, kurie dažnai yra specifiniai sistemai (**PyTorch** arba **TensorFlow**). Vykdomasis užrašynas taip pat talpina daug teorinės medžiagos, todėl norint suprasti temą reikia peržiūrėti bent vieną užrašyno versiją (arba **PyTorch**, arba **TensorFlow**). -* **Laboratorijos** prieinamos kai kurioms temoms, kurios suteikia galimybę pabandyti pritaikyti išmoktą medžiagą konkrečiai problemai. -* Kai kurie skyriai turi nuorodas į [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modulius, apimančius susijusias temas. +* Medžiagą prieš skaitymą +* Vykdomąsias Jupyter užrašų knygeles, kurios dažnai būna specifinės sistemai (**PyTorch** arba **TensorFlow**). Vykdoma užrašų knygelė taip pat turi daug teorinės medžiagos, todėl norint suprasti temą reikia pereiti bent vieną užrašų knygelės versiją (PyTorch arba TensorFlow). +* **Laboratorijas** kai kurioms temoms, kurios suteikia galimybę išbandyti tai, ką išmokote, sprendžiant konkrečią problemą. +* Kai kurios skiltys turi nuorodas į [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modulius, apimančius susijusias temas. -## Kaip pradėti +## Pradžia -### 🎯 Naujas DI? Pradėkite čia! +### 🎯 Naujas DI srityje? Pradėkite čia! -Jei esate visiškai naujas DI ir norite greitų, praktinių pavyzdžių, peržiūrėkite mūsų [**Pradedančiųjų pavyzdžius**](./examples/README.md)! Tai apima: +Jeigu esate visiškai naujas DI srityje ir norite greitai, praktiškai pavyzdžių, peržiūrėkite mūsų [**Pradedančiųjų pavyzdžius**](./examples/README.md)! Juose yra: -- 🌟 **Hello AI World** - Jūsų pirmoji DI programa (šablonų atpažinimas) -- 🧠 **Simple Neural Network** - Sukurkite neuroninį tinklą nuo nulio -- 🖼️ **Image Classifier** - Klasifikuokite vaizdus su išsamiais komentarais -- 💬 **Teksto nuotaika** - Analizuoti teigiamą/neigiamą tekstą +- 🌟 **Sveikas DI pasauli!** - Jūsų pirmoji DI programa (šablonų atpažinimas) +- 🧠 **Paprastas neuroninis tinklas** - Sukurkite neuroninį tinklą nuo nulio +- 🖼️ **Vaizdų klasifikatorius** - Klasifikuokite vaizdus su išsamiais komentarais +- 💬 **Teksto nuotaika** - Analizuokite teigiamą/neigiamą tekstą -These examples are designed to help you understand AI concepts before diving into the full curriculum. +Šie pavyzdžiai sukurti tam, kad padėtų jums suprasti DI sąvokas prieš pradedant visą mokymo programą. -### 📚 Pilno kurso nustatymas +### 📚 Visos programos nustatymas -- Mes sukūrėme a [paruošiamąją pamoką](./lessons/0-course-setup/setup.md) to help you with setting up your development environment. - Mokytojams mes taip pat sukūrėme a [programos paruošimo pamoką](./lessons/0-course-setup/for-teachers.md) for you too! +- Mes sukūrėme [nustatymo pamoką](./lessons/0-course-setup/setup.md), kad padėtume jums paruošti vystymo aplinką. - Mokytojams taip pat sukūrėme [programos nustatymo pamoką](./lessons/0-course-setup/for-teachers.md)! - Kaip [paleisti kodą VSCode arba Codepace](./lessons/0-course-setup/how-to-run.md) -Follow these steps: +Sekite šiuos žingsnius: -Fork the Repository: Spustelėkite mygtuką "Fork" šio puslapio viršutiniame dešiniajame kampe. +Šaknis (fork) saugyklą: Spustelėkite mygtuką "Fork" viršutiniame dešiniajame šio puslapio kampe. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Klonuokite saugyklą: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +Nepamirškite pažymėti (🌟) šį repo, kad vėliau būtų lengviau rasti. -## Susipažinkite su kitais besimokančiaisiais +## Susipažinkite su kitais besimokančiais -Prisijunkite prie mūsų [oficialaus AI Discord serverio](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) to meet and network with other learners taking this course and get support. +Prisijunkite prie mūsų [oficialaus AI Discord serverio](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), kad susitiktumėte ir bendrautumėte su kitais šio kurso dalyviais bei gautumėte pagalbą. -If you have product feedback or questions whilst building visit our [Azure AI Foundry vystytojų forume](https://aka.ms/foundry/forum) +Jei turite produktų atsiliepimų ar klausimų kurdami, apsilankykite mūsų [Azure AI Foundry kūrėjų forume](https://aka.ms/foundry/forum) -## Kvizai +## Testai -> **Pastaba apie kvizus**: Visi kvizai yra Quiz-app kataloge 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. +> **Pastaba apie testus**: Visi testai yra Quiz-app aplanke etc\quiz-app, arba [internete čia](https://ff-quizzes.netlify.app/) Jie yra susieti pamokose, o quiz programėlę galima paleisti vietoje arba diegti į Azure; vadovaukitės nurodymais `quiz-app` aplanke. Jie palaipsniui lokalizuojami. ## Reikalinga pagalba -Ar turite pasiūlymų arba radote rašybos ar kodo klaidų? Pateikite problemą arba sukurkite pull request. +Turite pasiūlymų ar radote rašybos ar kodo klaidų? Pateikite problemą arba sukurkite pull request. -## Ypatingos padėkos +## Specialūs padėkos žodžiai * **✍️ Pagrindinis autorius:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Redaktorius:** [Jen Looper](https://twitter.com/jenlooper), PhD * **🎨 Sketchnote iliustratorė:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ Kvizų kūrėjas:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Pagrindiniai indėlininkai:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **✅ Testų kūrėja:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 Pagrindiniai bendradarbiai:** [Evgenii Pishchik](https://github.com/Pe4enIks) ## Kitos programos -Our team produces other curricula! Check out: +Mūsų komanda kuria ir kitas programas! Peržiūrėkite: ### LangChain @@ -175,11 +186,11 @@ Our team produces other curricula! Check out: [![AZD pradedantiesiems](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 pradedantiesiems](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 pradedantiesiems](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 Agentai pradedantiesiems](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) +[![DI agentai pradedantiesiems](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) --- -### Generatyvinė DI serija +### Generatyvinio DI serija [![Generatyvinis DI pradedantiesiems](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) [![Generatyvinis DI (.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) [![Generatyvinis DI (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) @@ -192,31 +203,31 @@ Our team produces other curricula! Check out: [![Duomenų mokslas pradedantiesiems](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) [![DI pradedantiesiems](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) [![Kibernetinis saugumas pradedantiesiems](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 kūrimas pradedantiesiems](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) +[![Interneto kūrimas pradedantiesiems](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 pradedantiesiems](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 kūrimas pradedantiesiems](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) +[![XR plėtra pradedantiesiems](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 serija -[![Copilot poriniam AI programavimui](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 dirbtinio intelekto porinio programavimo įrankiui](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](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 nuotykiai](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) -## Kaip gauti pagalbą +## Pagalbos gavimas -If you get stuck or have any questions about building AI apps. Prisijunkite prie kitų besimokančiųjų ir patyrusių kūrėjų diskusijų apie MCP. Tai palaikanti bendruomenė, kurioje klausimai yra laukiami ir žinios dalijamos laisvai. +Jei užstrigote ar turite klausimų apie DI programėlių kūrimą, prisijunkite prie kitų besimokančių ir patyrusių kūrėjų diskusijų apie MCP. Tai palaikanti bendruomenė, kur klausimai laukiami ir žinios dalijamos laisvai. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -If you have product feedback or errors while building visit: +Jei turite produktų atsiliepimų ar klaidų kūrimo metu, apsilankykite: -[![Microsoft Foundry kūrėjų forumas](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) --- **Atsakomybės apribojimas**: -Šis dokumentas buvo išverstas pasitelkiant dirbtinio intelekto vertimo paslaugą [Co-op Translator](https://github.com/Azure/co-op-translator). Nors siekiame tikslumo, atkreipkite dėmesį, kad automatiniai vertimai gali turėti klaidų arba netikslumų. Originalus dokumentas jo gimtąja kalba turi būti laikomas pagrindiniu ir įgaliojančiu šaltiniu. Svarbios informacijos atveju rekomenduojamas profesionalus žmogaus atliktas vertimas. Neatsakome už bet kokius nesusipratimus ar neteisingus aiškinimus, kilusius dėl šio vertimo naudojimo. +Šis dokumentas buvo išverstas naudojant dirbtinio intelekto vertimo paslaugą [Co-op Translator](https://github.com/Azure/co-op-translator). Nors stengiamės užtikrinti tikslumą, atkreipkite dėmesį, kad automatizuoti vertimai gali turėti klaidų ar netikslumų. Originalus dokumentas gimtąja kalba turėtų būti laikomas autoritetingu šaltiniu. Svarbios informacijos atvejais rekomenduojamas profesionalus žmogaus vertimas. Mes neatsakome už bet kokius nesusipratimus ar neteisingus aiškinimus, kilusius naudojant šį vertimą. \ No newline at end of file diff --git a/translations/my/README.md b/translations/my/README.md index f989b303..0b75d637 100644 --- a/translations/my/README.md +++ b/translations/my/README.md @@ -1,222 +1,232 @@ -[![GitHub လိုင်စင်](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![GitHub ပါဝင်သူများ](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![GitHub Issue များ](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![GitHub Pull Request များ](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PRs ကြိုဆိုပါသည်](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 ကြည့်ရှုသူများ](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![GitHub Fork များ](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![GitHub star များ](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) -# စတင်သူများအတွက် အတုအမြင့် ဥာဏ်ရည် - သင်ရိုးအစီအစဉ် +# စက်မှုအသိပညာစနစ် အတွက် ရှေ့မီသူများ - သင်ရိုးညွှန်းတမ်း |![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.my.png)| |:---:| -| AI For Beginners - _Sketchnote က [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ | -Explore the world of **Artificial Intelligence** (AI) with our 12-week, 24-lesson curriculum! It includes practical lessons, quizzes, and labs. The curriculum is beginner-friendly and covers tools like TensorFlow and PyTorch, as well as ethics in AI +**Artificial Intelligence** (AI) ၏ ကမ္ဘာကြီးကို ၁၂ ပတ်၊ ၂၄ ပညာသင်ခန်းစာ ပါဝင်သည့် သင်ရိုးညွှန်းတမ်းဖြင့် စမ်းကြည့်ပါ! ၎င်းတွင် လက်တွေ့သင်ခန်းစာများ၊ စစ်တမ်းများနှင့် သုခသုံးစွဲခန်းများ ပါဝင်သည်။ သင်ရိုးညွှန်းတမ်းသည် မစခင်သူများအတွက် သင့်လျော်ပြီး TensorFlow နှင့် PyTorch ကဲ့သို့သော ကိရိယာများနှင့် AI သင်္ဂါရပ်များကို ဖုံးလွှမ်းထားသည်။ -### 🌐 Multi-Language Support +### 🌐 ဘာသာစကားစုံထောက်ပံ့မှု -#### Supported via GitHub Action (Automated & Always Up-to-Date) +#### GitHub Action မှတဆင့် ထောက်ပံ့သည် (အလိုအလျောက် & အမြဲတမ်း အသစ်တိုးနေသော) -[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](./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) +[အာရပ်](../ar/README.md) | [ဘင်္ဂလီ](../bn/README.md) | [ဘူလ်ဂေးရီးယား](../bg/README.md) | [မြန်မာ](./README.md) | [တရုတ် (ရိုးရိုးအဆင့်)](../zh/README.md) | [တရုတ် (စန္ဒာခေါင်, ရိုးရာ)](../hk/README.md) | [တရုတ် (မကာအို, ရိုးရာ)](../mo/README.md) | [တရုတ် (ထိုင်ဝမ်, ရိုးရာ)](../tw/README.md) | [ခရိုအေးရှား](../hr/README.md) | [ချက်](../cs/README.md) | [ဒိန်းမတ်](../da/README.md) | [ဒတ်ချ်](../nl/README.md) | [အက်စတိုနီးယား](../et/README.md) | [ဖင်လန်](../fi/README.md) | [ပြင်သစ်](../fr/README.md) | [ဂျာမန်](../de/README.md) | [ဂရိ](../el/README.md) | [ဟီဘရူး](../he/README.md) | [ဟိန္ဒီ](../hi/README.md) | [ဟန်ဂေရီး](../hu/README.md) | [အင်ဒိုနီးရှား](../id/README.md) | [အီတလီ](../it/README.md) | [ဂျပန်](../ja/README.md) | [ကန္ဏဒါ](../kn/README.md) | [ကိုးရီးယား](../ko/README.md) | [လစ်သူအေးနီးယား](../lt/README.md) | [မလေး](../ms/README.md) | [မလေလာမ်](../ml/README.md) | [မာရသီ](../mr/README.md) | [နီပေါ](../ne/README.md) | [ไนဂျီးရီးယား ပစ်ဂျင်](../pcm/README.md) | [နော်ဝေ](../no/README.md) | [ဖာစီ (ပါ့ရှန်)](../fa/README.md) | [ပိုလန်](../pl/README.md) | [ပေါ်ချဆီ (ဘရာဇီး)\](../br/README.md) | [ပိုချချီ (ပိုတူဂီ)\](../pt/README.md) | [ပန်ဂျာဘီ (ဂူမြူခီ)](../pa/README.md) | [ရိုမေးနီးယား](../ro/README.md) | [ရုရှား](../ru/README.md) | [ဆာဘီးယား (စီရီလစ်)\](../sr/README.md) | [ဆိုဗီးယား](../sk/README.md) | [စလိုဗေးနီးယား](../sl/README.md) | [စပိန်](../es/README.md) | [ဆွာဟီလီ](../sw/README.md) | [ဆွီဒင်](../sv/README.md) | [တာဂလို (ဖိလစ်ပိုင်)](../tl/README.md) | [တမီးလ်](../ta/README.md) | [တယ်လူဂူ](../te/README.md) | [ထိုင်း](../th/README.md) | [တူရ်ကီ](../tr/README.md) | [ယူနိုခရိုင်း](../uk/README.md) | [ဥရူး](../ur/README.md) | [ဗီယက်နမ်](../vi/README.md) + +> **ဒေသတွင်း ကလိန်း ထုတ်ယူချင်ပါသလား?** + +> ဤသိုလှောင်ရာတွင် ဘာသာစကား ၅၀ ကျော်ဖြင့် ဘာသာပြန်ထားပြီး ဒေါင်းလုပ်အရွယ်အစားအပြားဏ်တိုးပွားစေသည်။ ဘာသာပြန် မပါဘဲ ချိတ်ဆွဲရန် sparse checkout ကို အသုံးပြုပါ: +> ```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' +> ``` +> ၎င်းသည် သင့်သင်တန်းကို အလွန်မြန်ဆန်စွာ ဒေါင်းလုပ်ပြီး အားလုံးလိုအပ်သော အရာများဖြင့် ပြည့်စုံစေသည်။ -**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)** +**ထို့အပြင် ထပ်မံအသုံးပြုလိုသော ဘာသာစကားများကို [ဒီနေရာမှာ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) တွေ့နိုင်ပါသည်။** -## Join the Community +## အသိုင်းအဝိုင်းသို့ လက်တွဲပါ [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## What you will learn +## သင်တို့ သင်ယူမည့်အရာများ -**[သင်တန်း၏ မဟာမြေပုံ (Mindmap)](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[သင်တန်း၏ စိတ်ကူးပြဇယား](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -In this curriculum, you will learn: +ဤသင်ရိုးညွှန်းတမ်းတွင် သင်သည် သင်ယူမည်မှာ - -* Different approaches to Artificial Intelligence, including the "good old" symbolic approach with **Knowledge Representation** and reasoning ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Neural Networks** and **Deep Learning**, which are at the core of modern AI. We will illustrate the concepts behind these important topics using code in two of the most popular frameworks - [TensorFlow](http://Tensorflow.org) and [PyTorch](http://pytorch.org). -* **Neural Architectures** for working with images and text. We will cover recent models but may be a bit lacking in the state-of-the-art. -* Less popular AI approaches, such as **Genetic Algorithms** and **Multi-Agent Systems**. +* Artificial Intelligence ၏ မတူကွဲပြားသည့် နည်းလမ်းများ၊ "ဟောင်းရွှင်" သင်္ကေတနည်းလမ်းအပါအဝင် **အသိအမှတ်ပြုမှု** နှင့် အနက်လိုက်လေ့လာခြင်း ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))။ +* နေရာလတ်တလော AI ၏ အခြေခံဖြစ်သည့် **နဲ့ရယ်ကွန်ရက်များ** နှင့် **နက်ရှိုင်းလေ့လာမှု** ။ ဤအရေးကြီးသော မှတ်ချက်များကို လူကြိုက်များသော ကွန်ယက်ဖွဲ့စည်းမှုများ - [TensorFlow](http://Tensorflow.org) နှင့် [PyTorch](http://pytorch.org) ကိုအသုံးပြုပြီး ကုဒ်ဖြင့် ပုံပြင်ဖြစ်စေမည်။ +* ဓာတ်ပုံများနှင့် စာသားများဆိုင်ရာလုပ်ငန်းများအတွက် **နဲ့ရယ်ပုံစံများ**။ နောက်ဆုံးပေါ် မော်ဒယ်များကို ဖုံးလွှမ်းမည်သို့ပင် ဖြစ်သည်။ +* နည်းခဏလူမသိသော AI နည်းလမ်းများ - **ဂျီနက်တစ် အယ်ဂိုရစ်သမ်များ** နှင့် **ပရိုဂရမ်အေဂျင့် စနစ်များ**။ -What we will not cover in this curriculum: +ဤသင်ရိုးညွှန်းတမ်းတွင် ဖုံးလွှမ်းမည့်အရာ များ - -> [ဤသင်တန်းအတွက် ထပ်မံရရှိနိုင်သော အရင်းအမြစ်များအားလုံးကို ကျွန်ုပ်တို့၏ Microsoft Learn စုစည်းမှုတွင် တွေ့နိုင်ပါသည်](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [ဤသင်တန်းအတွက် ထပ်မံအရင်းအမြစ်များအားလုံးကို ကျွန်ုပ်တို့့ Microsoft Learn စုစည်းမှုမှာ ရှာဖွေပါ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Business cases of using **AI in Business**. Consider taking [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) learning path on Microsoft Learn, or [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), developed in cooperation with [INSEAD](https://www.insead.edu/). -* **Classic Machine Learning**, which is well described in our [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners). -* Practical AI applications built using **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. For this, we recommend that you start with modules Microsoft Learn for [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)** and others. -* Specific ML **Cloud Frameworks**, such as [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), or [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Consider using [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) and [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) learning paths. -* **Conversational AI** and **Chat Bots**. There is a separate [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) learning path, and you can also refer to [this blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for more detail. -* **Deep Mathematics** behind deep learning. For this, we would recommend [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) by Ian Goodfellow, Yoshua Bengio and Aaron Courville, which is also available online at [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* **စီးပွားရေးတွင် AI အသုံးပြုမှု** အကြောင်းစီးပွားရေး အခြေအနေများ။ Microsoft Learn ပေါ်ရှိ [စီးပွားရေး စနစ်အသုံးပြုသူများအတွက် AI နိဒါန်း](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) သင်တန်းလမ်းကြောင်း သို့မဟုတ် [AI စီးပွားရေးကျောင်း](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) ကို [INSEAD](https://www.insead.edu/) နှင့် ပူးပေါင်းထားပါသည်။ +* ကျွန်ုပ်တို့၏ [စက်မှုသိပ္ပံအခြေခံ သင်ရိုး](http://github.com/Microsoft/ML-for-Beginners) တွင် လေ့လာထားသော **စမတ်စက်မှုသိပ္ပံ**။ +* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ဖြင့် စက်မှုသိပ္ပံ အချက်အလက် လက်တွေ့အသုံးချမှုများ။ ဤအတွက် Microsoft Learn ၏ [မြင်ကွင်း](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum) ၊ [သဘာဝဘာသာစကား အသုံးပြုမှု](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum) နှင့် **[Azure OpenAI Service ဖြင့် စက်မှုသိပ္ပံ ဖန်တီးမှု](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** တို့ကို 推荐 လုပ်ပါသည်။ +* နည်းပေါင်းတစ်ခုတည်းသော ML **တိကျသော Cloud Frameworks**, ဥပမာ [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), သို့မဟုတ် [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum) ကို အသုံးပြုသူများ ချိတ်ဆက်ရန် [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) နှင့် [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) သင်တန်းလမ်းကြောင်းများကို သင်ယူရန် အကြံပြုသည်။ +* **စကားပြော စက်မှုသိပ္ပံ** နှင့် **စကားပြော BOT များ**။ အထူးသီးသန့် [စကားပြောစက်မှုသိပ္ပံ ဖြေရှင်းချက်များ ဖန်တီးခြင်း](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) သင်တန်းလမ်းကြောင်းရှိပြီး၊ အသေးစိတ်အတွက် [ဤ ဘလော့ဂ်ပိုစ့်](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ကိုလည်း ဖတ်ရှုနိုင်ပါသည်။ +* နက်ရှိုင်းလေ့လာမှု၏ အခြေခံသင်္ချာရေး **နက်ရှိုင်းသင်္ချာ**။ ဤအတွက် Ian Goodfellow, Yoshua Bengio နှင့် Aaron Courville အားရေးသားသော [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) စာအုပ်ကို အကြံပြုပြီး ဘာသာပြန်ထားသော [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) မှာလည်း ရနိုင်သည်။ -For a gentle introduction to _AI in the Cloud_ topics you may consider taking the [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. +_Cloud AI_ အရာများကို ကိုင်တွယ်မည့် ဝင်ရိုးလမ်းအတွက် [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) သင်တန်းလမ်းကြောင်းကို သတိပြုစဉ်းစားပါ။ -# Content +# အကြောင်းအရာ -| | သင်ခန်းစာလင့်ခ် | PyTorch/Keras/TensorFlow | Lab | +| | သင်ခန်းစာလင့်ခ် | PyTorch/Keras/TensorFlow | သုခသုံးခန်း | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [သင်တန်း စတင်ပြင်ဆင်ခြင်း](./lessons/0-course-setup/setup.md) | [သင်၏ ဖွံ့ဖြိုးရေး ပတ်ဝန်းကျင်ကို စတင်ပြင်ဆင်နည်း](./lessons/0-course-setup/how-to-run.md) | | -| I | [**AI အကြောင်းနိဒါန်း**](./lessons/1-Intro/README.md) | | | +| 0 | [သင်တန်း စတင်ပြင်ဆင်မှု](./lessons/0-course-setup/setup.md) | [ဖွံ့ဖြိုးတိုးတက်ရေးပတ်ဝန်းကျင်ကို ပြင်ဆင်ခြင်း](./lessons/0-course-setup/how-to-run.md) | | +| I | [**AI နိဒါန်း**](./lessons/1-Intro/README.md) | | | | 01 | [AI ၏ နိဒါန်းနှင့် သမိုင်းကြောင်း](./lessons/1-Intro/README.md) | - | - | -| II | **သင်္ကေတအခြေခံ AI** | -| 02 | [Knowledge Representation and Expert Systems](./lessons/2-Symbolic/README.md) | [Expert Systems](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**Neural Networks အတွက် နိဒါန်း**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [မှတ်စု (Notebook)](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [လက်တွေ့လေ့ကျင့်ခန်း (Lab)](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Multi-Layered Perceptron and Creating our own Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [မှတ်စု (Notebook)](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [လက်တွေ့လေ့ကျင့်ခန်း (Lab)](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Intro to Frameworks (PyTorch/TensorFlow) and 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) | [လက်တွေ့လေ့ကျင့်ခန်း (Lab)](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Computer Vision**](./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)| [Microsoft Azure တွင် ကွန်ပျူတာမြင်မြင်မှုကို ရှာဖွေပါ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Intro to Computer Vision. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [မှတ်စု (Notebook)](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [လက်တွေ့လေ့ကျင့်ခန်း (Lab)](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Convolutional Neural Networks](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Architectures](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [လက်တွေ့လေ့ကျင့်ခန်း (Lab)](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Pre-trained Networks and Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Training Tricks](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [လက်တွေ့လေ့ကျင့်ခန်း (Lab)](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| II | **သင်္ကေတစနစ် AI** | +| 02 | [အသိအမှတ်ပြုမှုနှင့် တက်ကြွသူစနစ်များ](./lessons/2-Symbolic/README.md) | [တက်ကြွသူစနစ်များ](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**နဲ့ရယ်ကွန်ရက်များ နိဒါန်း**](./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 | [Multi-Layered Perceptron and Creating our own 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 | [Intro to Frameworks (PyTorch/TensorFlow) and 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) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**ကွန်ပျူတာမြင်ကွင်း**](./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)| [Explore Computer Vision on Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [ကွန်ပျူတာမြင်ကွင်းအတွက် နိဒါန်း။ 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 | [Convolutional Neural Networks](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Architectures](./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 | [Pre-trained Networks and Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Training Tricks](./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 | [Autoencoders and 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 | [Generative Adversarial Networks & Artistic Style Transfer](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [Object Detection](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [လက်တွေ့လေ့ကျင့်ခန်း (Lab)](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 11 | [Object Detection](./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 | [Semantic Segmentation. 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 | [**Natural Language Processing**](./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) | [Microsoft Azure တွင် ဘာသာစကားကိုင်တွယ်ခြင်းကို ရှာဖွေပါ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Text Representation. 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 | [**ဘာသာစကားသဘာဝ ဖြေရှင်းခြင်း**](./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) | [Explore Natural Language Processing on Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [စာသား ကိုယ်စားပြုခြင်း။ 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 | [Semantic word embeddings. Word2Vec and 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 | [Language Modeling. Training your own embeddings](./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) | [လက်တွေ့လေ့ကျင့်ခန်း (Lab)](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 15 | [ဘာသာစကား မော်ဒယ်ဖန်တီးခြင်း။ ကိုယ်ပိုင် embeddings သင်ကြားခြင်း](./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 | [Recurrent Neural Networks](./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 | [Generative Recurrent Networks](./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) | [လက်တွေ့လေ့ကျင့်ခန်း (Lab)](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 17 | [Generative Recurrent Networks](./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 | [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 | [Named Entity Recognition](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [လက်တွေ့လေ့ကျင့်ခန်း (Lab)](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Large Language Models, Prompt Programming and Few-Shot Tasks](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **Other AI Techniques** || | -| 21 | [Genetic Algorithms](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [မှတ်စု (Notebook)](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Deep Reinforcement Learning](./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) | [လက်တွေ့လေ့ကျင့်ခန်း (Lab)](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 19 | [Named Entity Recognition](./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 | [ကြီးမားသော ဘာသာစကား မော်ဒယ်များ၊ Prompt Programming နှင့် Few-Shot Tasks](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **အခြား AI နည်းလမ်းများ** || | +| 21 | [Genetic Algorithms](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [နက်ရှိုင်းသော Reinforcement Learning](./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 | [Multi-Agent Systems](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **AI Ethics** | | | +| VII | **AI ဓေသန** | | | | 24 | [AI Ethics and Responsible 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) | | -| IX | **Extras** | | | -| 25 | [Multi-Modal Networks, CLIP and VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [မှတ်စု (Notebook)](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| IX | **အပိုဆောင်းများ** | | | +| 25 | [Multi-Modal Networks, CLIP and VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | -## သင်ခန်းစာတိုင်းတွင် ပါဝင်သော အရာများ +## တစ်ခုချင်းသင်ခန်းစာများတွင် ပါဝင်သော အကြောင်းအရာများ -* ကြိုဖတ်ရန် ပစ္စည်းများ -* အများအားဖြင့် သတ်မှတ် Framework ( **PyTorch** သို့မဟုတ် **TensorFlow**) အတွက် သီးသန့်ဖြစ်သော အကောင်အထည်ဖော်နိုင်သည့် Jupyter မှတ်စုစာအုပ်များ (Executable Notebooks) များ။ အကောင်အထည်ဖော်နိုင်သော မှတ်စုစာအုပ်များတွင် သီအိုရီဆိုင်ရာ အချက်အလက်များစွာပါဝင်သဖြင့် ခေါင်းစဉ်ကို နက်နက်ရှိုင်းရှိုင်း နားလည်လိုပါက မှတ်စုစာအုပ်၏ ဗားရှင်းတစ်ခုအနည်းဆုံး (PyTorch သို့မဟုတ် TensorFlow) ကို ကြည့်ရှုဖတ်ရှုရန် လိုအပ်ပါသည်။ -* အချို့သော ခေါင်းစဉ်များအတွက် လက်တွေ့လေ့ကျင့်ခန်းများ (Labs) ရရှိနိုင်ပြီး ဤများက သင်လေ့လာထားသော အချက်အလက်များကို သတ်မှတ် ပြဿနာတစ်ခုတွင် လက်တွေ့စမ်းသပ်၍ အသုံးချပေးခွင့်ပေးသည်။ -* အချို့သော အပိုင်းများတွင် ဆက်စပ် ခေါင်းစဉ်များကို ဖုံးလွှမ်းထားသည့် [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) မော်ဂျူးများအတွက် လင့်ခ်များ ပါရှိသည်။ +* ကြိုတင်ဖတ်ရှုရန် ပစ္စည်းများ +* ဆောင်ရွက်နိုင်သော Jupyter Notebooks များ၊ အများအားဖြင့် framework (**PyTorch** သို့မဟုတ် **TensorFlow**) အတွက် သီးသန့်ဖြစ်သည်။ ဆောင်ရွက်နိုင်သော notebook တွင် နိုင်ငံတော်သိပ္ပံဆိုင်ရာ ပစ္စည်းများလည်းများလှလွန်းသဖြင့် ခေါင်းစဉ်ကိုနားလည်ရန် အနည်းဆုံး notebook တစ်ခု (PyTorch သို့မဟုတ် TensorFlow) ကို ကြည့်ရပါမည်။ +* သင်ယူမှု အခွင့်အလမ်းကို ပို့ချခြင်းဖြင့် သင်ယူထားသော ပစ္စည်းကို သက်ဆိုင်သော ပြဿနာတွင် လက်တွေ့အသုံးပြုကြည့်ရန် အခွင့်အရေး ပေးသော **Labs** များ။ +* အချို့အပိုင်းများတွင် သက်ဆိုင်သော ခေါင်းစဉ်များကို ဖုံးကွယ်ထားသည့် [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) မော်ဂျူးများသို့ လင့်ခ်များ ပါဝင်သည်။ -## စတင်ရန် +## စတင်သင်ယူခြင်း -### 🎯 AI ကို အသစ်စတင်လေ့လာနေပါသလား? ဒီနေရာကနေ စတင်ပါ! +### 🎯 AI အသစ်လား? ဒီမှာ စပြီး သင်ယူပါ! -AI ကို အကုန်လုံး အသစ်စတင် လေ့လာလိုပြီး လျင်မြန်၍ လက်တွေ့ ဥပမာများ များလိုပါက ကျွန်ုပ်တို့၏ [**Beginner-Friendly Examples**](./examples/README.md) ကို ကြည့်ပါ! ဤသူတို့တွင် ပါဝင်သည်များမှာ - +AI အသစ်စ completelyပြီး လက်တွေ့ လက်ခံနိုင်သော ဥပမာများ လိုချင်ပါက ကျွန်ုပ်တို့၏ [**အသစ်စလစ်လက်တွေ့ ဥပမာများ**](./examples/README.md) ကိုကြည့်ပါ! ဤမှာ ပါဝင်သော ဥပမာများမှာ - -- 🌟 **Hello AI World** - သင်၏ ပထမဆုံး AI အစီအစဉ် (ပုံစံ အသိအမှတ်ပြုခြင်း) -- 🧠 **Simple Neural Network** - အခြေခံမှ စ၍ neural network တစ်ခု တည်ဆောက်ခြင်း -- 🖼️ **Image Classifier** - ဓာတ်ပုံများကို အသေးစိတ် မှတ်ချက်များနှင့် အမျိုးအစားခွဲခြင်း -- 💬 **စာသား စိတ်ခံစားချက်** - စာသား၏ အကောင်း/အဆိုး စိတ်ခံစားချက်ကို ခွဲခြမ်းစိတ်ဖြာပါ +- 🌟 **Hello AI World** - သင့်ရဲ့ ပထမဆုံး AI ပရိုဂရမ် (နမူနာသိရှိခြင်း) +- 🧠 **ရိုးရှင်းသော Neural Network** - စကျပ်မှ neural network တည်ဆောက်ခြင်း +- 🖼️ **ပုံခွဲခြားသူ** - အသေးစိတ်မှတ်ချက်များပါသော ပုံများ ခွဲခြားခြင်း +- 💬 **စာသားခံစားချက်** - အကောင်းမြင်/မကောင်းမြင် စာသားကို ခွဲခြားစစ်ဆေးခြင်း -These examples are designed to help you understand AI concepts before diving into the full curriculum. +ဤဥပမာများကို သင်သည် AI အကြောင်းအရာများကို နားလည်ရန် အထောက်အကူပြုရန် ဒီတန်းအစီအစဉ်အပြည့်အစုံနောက်ကျ ဖတ်ရှုခင် ပြုလုပ်ထားသည်။ -### 📚 အပြည့်အစုံ သင်ရိုး စီစဉ်ခြင်း +### 📚 အပြည့်အစုံ သင်ခန်းစာ စီစဉ်ခြင်း -- ကျွန်ုပ်တို့သည် သင့် ဖွံ့ဖြိုးရေး ပတ်ဝန်းကျင်ကို တပ်ဆင်ရာတွင် ကူညီရန် [ပတ်ဝန်းကျင် တပ်ဆင်ခြင်း သင်ခန်းစာ](./lessons/0-course-setup/setup.md) တစ်ခု ဖန်တီးထားပါသည်။ - ပညာသင်ကြားသူများအတွက်လည်း [သင်ရိုး စီစဉ်ခြင်း သင်ခန်းစာ](./lessons/0-course-setup/for-teachers.md) ဖန်တီးထားပါသည်! -- [VSCode သို့မဟုတ် Codepace တွင် ကုဒ်ကို မည်သို့ လည်ပတ်ရမည်](./lessons/0-course-setup/how-to-run.md) +- သင်၏ အဖွဲ့အစည်းဖွံ့ဖြိုးရေးပတ်ဝန်းကျင်ကို စတင်တည်ဆောက်ရန် အထောက်အကူပြုရန် [setup lesson](./lessons/0-course-setup/setup.md) တစ်ခု ပြုလုပ်ထားသည်။ - မူမမှီပညာရှင်များအတွက်လည်း [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) တစ်ခု ရေးသားပေးထားသည်။ +- VSCode သို့မဟုတ် Codepace တွင် [Code ကိုမည်သို့ ပြေးပေးရမည်](./lessons/0-course-setup/how-to-run.md) ဆိုသည်ကို မျှဝေထားသည်။ -Follow these steps: +အောက်ပါ အဆင့်များကို လိုက်နာပါ- -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +Repositories ကို Fork လုပ်ပါ- ဒီစာမျက်နှာအပေါ်ညာဘက် ထောင့်ရှိ "Fork" ခလုတ်ကိုနှိပ်ပါ။ -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Repositories ကို Clone လုပ်ပါ- `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +နောက်မှ ရှာဖွေရာတွင် လွယ်ကူစေရန် ဤ repo ကို အမြဲ (🌟) အဖြစ် မှတ်သားထားဖို့ မမေ့နှိပ်နှုတ်ပါနှင့်။ -## Meet other Learners +## အခြား ပညာသင်များနှင့် တွေ့ဆုံခြင်း -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. +ဒီသင်တန်းကို လေ့လာနေသော အခြား သင်ယူသူများနှင့် တွေ့ဆုံဆက်ဆံရန် နှင့် အထောက်အပံ့ရယူရန်အတွက် ကျွန်ုပ်တို့၏ [တရားဝင် AI Discord ဆာဗာ](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) ကို ဝင်ရောက်ပါ။ -If you have product feedback or questions whilst building visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +ထုတ်ကုန်ဆိုင်ရာ ထောက်ပြချက်များ သို့မဟုတ် မေးခွန်းများရှိပါက ထိထိရောက်ရောက် တည်ဆောက်ပါက ကျွန်ုပ်တို့၏ [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) သို့ ဝင်ကြည့်နိုင်ပါသည်။ -## Quizzes +## စစ်ဆေးမေးခွန်းများ -> **မေးခွန်းများအကြောင်း မှတ်ချက်**: All quizzes are contained in the Quiz-app folder in etc\quiz-app, or [အွန်လိုင်းတွင်](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. +> **စစ်ဆေးမေးခွန်းများအကြောင်း မှတ်ချက်**: စစ်ဆေးမေးခွန်းများအားလုံးကို quiz-app ဖိုဒါ etc\quiz-app တွင် ထည့်သွင်းထားပြီး၊ သို့မဟုတ် [အွန်လိုင်းတွင် ဒီမှာ](https://ff-quizzes.netlify.app/) ရနိုင်သည်။ ၎င်းများကို သင်ခန်းစာများမှ တစ်ဆင့် ချိတ်ဆက်ထားပြီး quiz app ကို မိမိစက်တွင် ပြေးနိုင် သို့မဟုတ် Azure တွင် တပ်ဆင်နိုင်သည်။ `quiz-app` ဖိုဒါအတွင်း ညွှန်ကြားချက်များကို လိုက်နာပါ။ မူလတန်းဖြင့် ဘာသာပြန်ခြင်း လုပ်ဆောင်နေပါသည်။ -## Help Wanted +## ကူညီလိုသူများ -Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request. +အကြံပြုချက်များ သို့မဟုတ် စာလုံးဇယားမှားယွင်းခြင်း သို့မဟုတ် ကုတ်မှားများ တွေ့ရှိပါသလား။ မေးခွန်းတစ်ခု တင်ပါ သို့မဟုတ် pull request တစ်ခု ဖန်တီးပေးပါ။ -## Special Thanks +## အထူးပင်ကျေးဇူးတင်စကား -* **✍️ အဓိကရေးသားသူ:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 အယ်ဒီတာ:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Sketchnote ဖန်တီးသူ:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ မေးခွန်း ဖန်တီးသူ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 အဓိက ပါဝင်ကူညီသူများ:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **✍️ အဓိကစာရေးသူ:** [Dmitry Soshnikov](http://soshnikov.com), PhD +* **🔥 စာတည်းဖြတ်သူ:** [Jen Looper](https://twitter.com/jenlooper), PhD +* **🎨 Sketchnote ရေးဆွဲသူ:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ စစ်ဆေးမေးခွန်း ဖန်တီးသူ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 အဓိက အကျိုးရှိသူများ:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Other Curricula +## အခြား သင်တန်းအစီအစဉ်များ -Our team produces other curricula! Check out: +ကျွန်ုပ်တို့အဖွဲ့မှ အခြားသင်တန်းအစီအစဉ်များလည်း ထုတ်လုပ်ပါသည်! ကြည့်ပါ- ### LangChain -[![LangChain4j အစပြုသူများအတွက်](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 အစပြုသူများအတွက်](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 စတင်သူများအတွက်](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 စတင်သူများအတွက်](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 စတင်သူများအတွက်](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 စတင်သူများအတွက်](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) +[![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 စီးရီးများ -[![Generative AI စတင်သူများအတွက်](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 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) --- -### အခြေခံ သင်ယူမှု -[![ML စတင်သူများအတွက်](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 စတင်သူများအတွက်](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 စတင်သူများအတွက်](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 စတင်သူများအတွက်](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 စတင်သူများအတွက်](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 စတင်သူများအတွက်](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 စတင်သူများအတွက်](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) +### 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) --- -### Copilot စီးရီး +### 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 စွန့်စားခန်း](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 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) -## အကူအညီ ရယူခြင်း +## ကူညီမှု ရရှိရန် -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. +AI apps ဖန်တီးရာတွင် အတားအဆီးများ ဖြစ်ပါက သို့မဟုတ် မေးခွန်းများရှိပါက MCP နှင့်ပတ်သက်သော ဆွေးနွေးပွဲများတွင် အတူတကွ သင်ယူနေသူများနှင့် အတွေ့အကြုံရှိ ဒီဗေလိုပါများအဖြစ် ဝင်ရောက်ပါ။ ဤကူညီပံ့ပိုးမှုကောင်းသော အသိုင်းအဝိုင်းတွင် မေးခွန်းများကို လက်ခံရာ Knowledge များ ထပ်မံမျှဝေရန် ရှိသည်။ [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -If you have product feedback or errors while building visit: +ထုတ်ကုန်ဆိုင်ရာ အကြံပြုချက်များ သို့မဟုတ် error များရှိပါက အောက်ပါနေရာသို့ ဝင်ကြည့်ပါ- [![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) --- -တာဝန်မရှိကြောင်း သတိပေးချက်: -ဤစာတမ်းကို AI ဘာသာပြန်ဝန်ဆောင်မှု [Co-op Translator](https://github.com/Azure/co-op-translator) ဖြင့် ဘာသာပြန်ထားပါသည်။ ကျွန်ုပ်တို့သည် တိကျမှန်ကန်မှုအတွက် ကြိုးပမ်းမှုများ ပြုလုပ်ပါသော်လည်း အလိုအလျောက် ဘာသာပြန်ချက်များတွင် အမှားများ သို့မဟုတ္ မမှန်ကန်မှုများ ပါဝင်နိုင်ကြောင်း ကျေးဇူးပြု၍ သတိပြုပါ။ မူလစာတမ်းကို မူလဘာသာဖြင့်သာ ခိုင်မာသော အရင်းအမြစ်အဖြစ် ယူဆသင့်ပါသည်။ အရေးပါတဲ့ အချက်အလက်များအတွက် လူ့ပရော်ဖက်ရှင်နယ် ဘာသာပြန်သူက ဘာသာပြန်ပေးမှုကို အကြံပြုလိုပါသည်။ ဤဘာသာပြန်ချက်ကို အသုံးပြုခြင်းကြောင့် ဖြစ်ပေါ်လာနိုင်သော စာလုံးအမှားများ၊ နားမလည်မှုများ သို့မဟုတ် မမှန်ကန်စွာ ဖတ်မိခြင်းများအတွက် ကျွန်ုပ်တို့ တာဝန်မယူပါ။ +**အချက်ဖော်ကြားချက်** +ဤစာရွက်စာတမ်းကို AI ဘာသာပြန်ဝန်ဆောင်မှု [Co-op Translator](https://github.com/Azure/co-op-translator) မှ တပ်ဆင်ပြီး ဘာသာပြန်ထားပါသည်။ တိကျမှုအတွက် အထူးကြိုးပမ်းမှုရှိသော်လည်း၊ စက်ယန္တရားဘာသာပြန်ခြင်းဖြင့် အမှားများ သို့မဟုတ် မှားယွင်းချက်များ ရှိနိုင်ကြောင်း သတိပြုပါ။ မူလစာရွက်စာတမ်းသည် သူ၏ မူလဘာသာဖြင့် တရားဝင်အချက်အလက် အနေဖြင့် ယူဆရန် ဖြစ်ပါသည်။ အရေးကြီးသော အချက်အလက်များအတွက် လူကြီးမင်းသည် ပရော်ဖက်ရှင်နယ်လူသားဘာသာပြန်ကို အသုံးပြုရန် အကြံပြုပါသည်။ ဤဘာသာပြန်ခြင်းမှဖြစ်ပေါ်လာသော သဘောမတူချက်များ သို့မဟုတ် မှားယွင်းစကားများအတွက် ကျွန်ုပ်တို့ မည်သည့် တာဝန်မှ မယူဆောင်ပါ။ \ No newline at end of file diff --git a/translations/sl/README.md b/translations/sl/README.md index fb1302fa..2351cf61 100644 --- a/translations/sl/README.md +++ b/translations/sl/README.md @@ -1,8 +1,8 @@ -[Arabščina](../ar/README.md) | [Bengalščina](../bn/README.md) | [Bolgarščina](../bg/README.md) | [Burmanščina (Myanmar)](../my/README.md) | [Kitajščina (poenostavljena)](../zh/README.md) | [Kitajščina (tradicionalna, Hong Kong)](../hk/README.md) | [Kitajščina (tradicionalna, Macau)](../mo/README.md) | [Kitajščina (tradicionalna, Taiwan)](../tw/README.md) | [Hrvaščina](../hr/README.md) | [Češčina](../cs/README.md) | [Danščina](../da/README.md) | [Nizozemščina](../nl/README.md) | [Estonščina](../et/README.md) | [Finščina](../fi/README.md) | [Francoščina](../fr/README.md) | [Nemščina](../de/README.md) | [Grščina](../el/README.md) | [Hebrejščina](../he/README.md) | [Hindijščina](../hi/README.md) | [Madžarščina](../hu/README.md) | [Indonezijščina](../id/README.md) | [Italijanščina](../it/README.md) | [Japonščina](../ja/README.md) | [Kannada](../kn/README.md) | [Korejščina](../ko/README.md) | [Litovščina](../lt/README.md) | [Malajščina](../ms/README.md) | [Malajalščina](../ml/README.md) | [Maratščina](../mr/README.md) | [Nepalščina](../ne/README.md) | [Nigerijski pidgin](../pcm/README.md) | [Norveščina](../no/README.md) | [Perzijski (Farsi)](../fa/README.md) | [Poljščina](../pl/README.md) | [Portugalščina (Brazilija)](../br/README.md) | [Portugalščina (Portugalska)](../pt/README.md) | [Pandžabščina (Gurmukhi)](../pa/README.md) | [Romunščina](../ro/README.md) | [Ruščina](../ru/README.md) | [Srbščina (cirilica)](../sr/README.md) | [Slovaščina](../sk/README.md) | [Slovenščina](./README.md) | [Španščina](../es/README.md) | [Svahili](../sw/README.md) | [Švedščina](../sv/README.md) | [Tagalog (filipinski)](../tl/README.md) | [Tamilščina](../ta/README.md) | [Telugu](../te/README.md) | [Tajščina](../th/README.md) | [Turščina](../tr/README.md) | [Ukrajinščina](../uk/README.md) | [Urdščina](../ur/README.md) | [Vietnamščina](../vi/README.md) +[Arabščina](../ar/README.md) | [Bengalščina](../bn/README.md) | [Bolgarščina](../bg/README.md) | [Burmanščina (Mjanmar)](../my/README.md) | [Kitajsščina (poenostavljena)](../zh/README.md) | [Kitajsščina (tradicionalna, Hong Kong)](../hk/README.md) | [Kitajsščina (tradicionalna, Macao)](../mo/README.md) | [Kitajsščina (tradicionalna, Tajvan)](../tw/README.md) | [Hrvaščina](../hr/README.md) | [Češčina](../cs/README.md) | [Danščina](../da/README.md) | [Nizozemščina](../nl/README.md) | [Estonščina](../et/README.md) | [Finščina](../fi/README.md) | [Francoščina](../fr/README.md) | [Nemščina](../de/README.md) | [Grščina](../el/README.md) | [Hebrejščina](../he/README.md) | [Hindijščina](../hi/README.md) | [Madžarščina](../hu/README.md) | [Indonezijščina](../id/README.md) | [Italijanščina](../it/README.md) | [Japonščina](../ja/README.md) | [Kannada](../kn/README.md) | [Korejščina](../ko/README.md) | [Litvijščina](../lt/README.md) | [Malajščina](../ms/README.md) | [Malajalščina](../ml/README.md) | [Maratščina](../mr/README.md) | [Neplaščina](../ne/README.md) | [Nigerijski pidžin](../pcm/README.md) | [Norveščina](../no/README.md) | [Perzijščina (Farsi)](../fa/README.md) | [Poljščina](../pl/README.md) | [Portugalščina (Brazilija)](../br/README.md) | [Portugalščina (Portugal)](../pt/README.md) | [Pandžabščina (Gurmukhi)](../pa/README.md) | [Romunščina](../ro/README.md) | [Ruščina](../ru/README.md) | [Srbščina (cirilica)](../sr/README.md) | [Slovaščina](../sk/README.md) | [Slovenščina](./README.md) | [Španščina](../es/README.md) | [Svahelščina](../sw/README.md) | [Švedščina](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamilščina](../ta/README.md) | [Telugu](../te/README.md) | [Tajščina](../th/README.md) | [Turščina](../tr/README.md) | [Ukrajinščina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamščina](../vi/README.md) + +> **Raje želite klonirati lokalno?** + +> Ta repozitorij vključuje več kot 50 prevodov jezikov, kar znatno poveča velikost prenosa. Za kloniranje brez prevodov uporabite izbiro 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' +> ``` +> Tako dobite vse, kar potrebujete za dokončanje tečaja z veliko hitrejšim prenosom. -**Če želite dodatne prevode, podprte jezike najdete [tukaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Če želite, da so podprti nadaljnji prevodni jeziki, so ti navedeni [tukaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Pridružite se skupnosti [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## Česa se boste naučili +## Kaj se boste naučili -**[Miselna mapa tečaja](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[Miselnica tečaja](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** V tem učnem načrtu se boste naučili: -* Različne pristope k umetni inteligenci, vključno s "starim dobrim" simbolnim pristopom z **reprezentacijo znanja** in sklepanje ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Nevronske mreže** in **globoko učenje**, ki sta v jedru sodobne AI. Koncepte za tema pomembna bomo ponazorili s kodo v dveh najbolj priljubljenih ogrodjih - [TensorFlow](http://Tensorflow.org) in [PyTorch](http://pytorch.org). -* **Nevronske arhitekture** za delo s slikami in besedilom. Pokrili bomo novejše modele, vendar morda nekoliko manj v skladu z najnovejšimi dosežki. -* Manj priljubljene pristope k AI, kot so **genetski algoritmi** in **večagentni sistemi**. +* Različne pristope k umetni inteligenci, vključno z "starim dobrim" simbolnim pristopom z **predstavo znanja** in sklepanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Nevronske mreže** in **globoko učenje**, ki sta v jedru sodobne umetne inteligence. Koncepte teh pomembnih tem bomo ponazorili s kodo v dveh najbolj priljubljenih ogrodjih - [TensorFlow](http://Tensorflow.org) in [PyTorch](http://pytorch.org). +* **Nevronske arhitekture** za delo s slikami in besedilom. Pokrili bomo nedavne modele, čeprav morda nekoliko manj natančno najnaprednejše. +* Manj priljubljene pristope UI, kot so **genetski algoritmi** in **sistemi več agentov**. -Česa ne bomo pokrili v tem učnem načrtu: +Česar ta učni načrt ne pokriva: -> [Poiščite vse dodatne vire za ta tečaj v naši zbirki Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Najdite vse dodatne vire za ta tečaj v naši zbirki Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Poslovne primere uporabe **AI v poslovanju**. Razmislite o opravljanju učne poti [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 ali [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvitih v sodelovanju z [INSEAD](https://www.insead.edu/). +* Poslovni primeri uporabe **UI v poslu**. Razmislite o vpisu v pot učenja [Uvod v UI za poslovne uporabnike](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn ali [AI poslovna šola](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvito v sodelovanju z [INSEAD](https://www.insead.edu/). * **Klasično strojno učenje**, ki je dobro opisano v našem [Učnem načrtu strojnega učenja za začetnike](http://github.com/Microsoft/ML-for-Beginners). -* Praktične AI aplikacije, zgrajene z uporabo **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za to priporočamo, da začnete z moduli Microsoft Learn za [računalniški vid](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [obdelavo naravnega jezika](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)** in druge. -* Specifična oblačna ogrodja za ML, kot so [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) ali [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Razmislite o uporabi učnih poti [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) in [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). -* **Conversational AI** in **klepetalni roboti**. Obstaja ločena učna pot [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), lahko pa se za več podrobnosti obrnete tudi na [ta objavo na blogu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/). -* **Poglobljena matematika** za globoko učenje. Za to priporočamo knjigo [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) avtorjev Ian Goodfellow, Yoshua Bengio in Aaron Courville, ki je na voljo tudi na spletu na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Praktične aplikacije UI, zgrajene z uporabo **[kognitivnih storitev](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za to priporočamo začetek z moduli na Microsoft Learn za [vid](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [obdelavo naravnega jezika](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[generativno UI z Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** in druge. +* Specifična ML **oblakiška ogrodja**, kot so [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), ali [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Razmislite o uporabi poti učenja [Izdelajte in upravljajte rešitve strojnega učenja z Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) in [Izdelajte in upravljajte rešitve strojnega učenja z Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Pogovorna umetna inteligenca** in **klepetalniki**. Obstaja ločena pot učenja [Ustvarite rešitve pogovorne UI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), prav tako si lahko ogledate [ta blog objavo](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) za več podrobnosti. +* **Globoka matematika** za globoko učenje. Za to priporočamo [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) Ian Goodfellow, Yoshua Bengio in Aaron Courville, ki je na voljo tudi na spletu na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Za lahek uvod v teme _AI v oblaku_ lahko razmislite o opravljenju učne poti [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). +Za lahek uvod v teme _UI v oblaku_ lahko razmislite o poti učenja [Začni z umetno inteligenco na Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Vsebina -| | Povezava na lekcijo | PyTorch/Keras/TensorFlow | Lab | +| | Povezava do lekcije | PyTorch/Keras/TensorFlow | Laboratorij | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Nastavitev tečaja](./lessons/0-course-setup/setup.md) | [Nastavitev razvojnega okolja](./lessons/0-course-setup/how-to-run.md) | | -| I | [**Uvod v umetno inteligenco**](./lessons/1-Intro/README.md) | | | -| 01 | [Uvod in zgodovina AI](./lessons/1-Intro/README.md) | - | - | -| II | **Simbolna umetna inteligenca** | -| 02 | [Reprezentacija znanja in ekspertski sistemi](./lessons/2-Symbolic/README.md) | [Ekspertski sistemi](./lessons/2-Symbolic/Animals.ipynb) / [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptni graf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| 0 | [Nastavitev tečaja](./lessons/0-course-setup/setup.md) | [Nastavi svoje razvojno okolje](./lessons/0-course-setup/how-to-run.md) | | +| I | [**Uvod v UI**](./lessons/1-Intro/README.md) | | | +| 01 | [Uvod in zgodovina UI](./lessons/1-Intro/README.md) | - | - | +| II | **Simbolna UI** | +| 02 | [Predstavitev znanja in ekspertni sistemi](./lessons/2-Symbolic/README.md) | [Ekspertni sistemi](./lessons/2-Symbolic/Animals.ipynb) / [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf konceptov](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Uvod v nevronske mreže**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Zvezek](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratorij](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Večplastni Perceptron in ustvarjanje lastnega ogrodja](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Zvezek](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorij](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Uvod v ogrodja (PyTorch/TensorFlow) in prenaučenost](./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) | [Laboratorij](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Računalniški vid**](./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)| [Raziskujte računalniški vid na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 04 | [Večplastni perceptron in ustvarjanje lastnega ogrodja](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Zvezek](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorij](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Uvod v ogrodja (PyTorch/TensorFlow) in prekomerno prileganje](./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) | [Laboratorij](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Računalniški vid**](./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)| [Razišči računalniški vid na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | | 06 | [Uvod v računalniški vid. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Zvezek](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratorij](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | | 07 | [Konvolucijske nevronske mreže](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arhitekture 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) | [Laboratorij](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Predtrenirane mreže in prenosno učenje](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Triki pri treniranju](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [Avtoenkoderji in 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 | [Generativne nasprotujoče nevronske mreže in prenos umetniškega sloga](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 08 | [Predhodno izurjene mreže in prenosno učenje](./lessons/4-ComputerVision/08-TransferLearning/README.md) in [Triki za treniranje](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [Avtoenkoderji in VAE-ji](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | +| 10 | [Generativne nasprotujoče si mreže in prenos umetniškega sloga](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Zaznavanje objektov](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorij](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Semantična segmentacija. 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 | [**Obdelava naravnega jezika**](./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) | [Raziskujte obdelavo naravnega jezika na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Predstavitev besedila. 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 | [Semantične vdelave besed. Word2Vec in 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 | [Modeliranje jezika. Učenje lastnih vdelav](./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) | [Laboratorij](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [Rekurentne nevronske mreže](./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 | [Generativne rekurentne mreže](./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) | [Laboratorij](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| V | [**Obdelava naravnega jezika**](./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) | [Razišči obdelavo naravnega jezika na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [Predstavitev besedila. 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 | [Semantične vgradnje besed. Word2Vec in 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 | [Jezikovno modeliranje. Izurite svoje vgradnje](./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) | [Laboratorij](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [Ponovljive nevronske mreže](./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 | [Generativne ponovljive mreže](./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) | [Laboratorij](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Transformerji. 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 | [Prepoznavanje imenovanih entitet](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratorij](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Veliki jezikovni modeli, programiranje pozivov in naloge z malo učnimi primeri](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| 20 | [Veliki jezikovni modeli, programiranje pozivov in naloge z nekaj primeri](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Druge tehnike AI** || | | 21 | [Genetski algoritmi](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Zvezek](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | | 22 | [Globoko okrepljeno učenje](./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) | [Laboratorij](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [Sistemi več agentov](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **Etika umetne inteligence** | | | -| 24 | [Etika umetne inteligence in odgovorna AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Načela odgovorne umetne inteligence](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| 23 | [Sistemi z več agenti](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| VII | **Etika AI** | | | +| 24 | [Etika AI in odgovorni AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principi odgovorne AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Dodatki** | | | | 25 | [Večmodalne mreže, CLIP in VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Zvezek](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Vsaka lekcija vsebuje -* Gradivo za predhodno branje -* Izvedljivi Jupyter zvezki, ki so pogosto specifični za ogrodje (**PyTorch** ali **TensorFlow**). Izvedljivi zvezek vsebuje tudi veliko teoretičnega gradiva, zato, da razumete temo, morate prebrati vsaj eno različico zvezka (bodisi **PyTorch** ali **TensorFlow**). -* **Laboratoriji** na voljo pri nekaterih temah, ki vam omogočajo, da preizkusite uporabo naučenega gradiva pri določenem problemu. -* Nekateri odseki vsebujejo povezave na module [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), ki obravnavajo sorodne teme. +* Predbralni material +* Izvedljive Jupyter zvezke, ki so pogosto specifični za ogrodje (**PyTorch** ali **TensorFlow**). Izvedljiv zvezek vsebuje tudi veliko teoretičnega gradiva, zato morate za razumevanje teme preiti skozi vsaj eno verzijo zvezka (bodisi PyTorch ali TensorFlow). +* **Laboratorije**, ki so na voljo za nekatere teme, in vam omogočajo, da poskusite uporabiti naučeno snov na konkretni problem. +* Nekateri odseki vsebujejo povezave do modulov [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), ki pokrivajo sorodne teme. ## Začetek -### 🎯 Nov v AI? Začni tukaj! +### 🎯 Novo pri AI? Začnite tukaj! -Če ste popolnoma novi v AI in želite hitre, praktične primere, si oglejte naše [**Primeri za začetnike**](./examples/README.md)! Ti vključujejo: +Če ste popolnoma novi pri AI in želite hitre, praktične primere, si oglejte naše [**Primeri prijazni začetnikom**](./examples/README.md)! Ti vključujejo: -- 🌟 **Pozdravljen AI svet** - Vaš prvi AI program (prepoznavanje vzorcev) -- 🧠 **Preprosta nevronska mreža** - Zgradite nevronsko mrežo iz nič -- 🖼️ **Klasifikator slik** - Razvrščanje slik z podrobnimi komentarji -- 💬 **Sentiment besedila** - Analizirajte pozitivno/negativno besedilo +- 🌟 **Pozdravljen AI svet** - vaš prvi AI program (prepoznavanje vzorcev) +- 🧠 **Preprosta nevronska mreža** - postavite nevronsko mrežo iz nič +- 🖼️ **Klasifikator slik** - klasificirajte slike z obsežnimi komentarji +- 💬 **Čustvena analiza besedila** - Analiza pozitivnega/negativnega besedila -Ti primeri so zasnovani, da vam pomagajo razumeti koncepte AI, preden se poglobite v celoten kurikulum. +Ti primeri so zasnovani, da vam pomagajo razumeti koncepte umetne inteligence, preden se poglobite v celoten učni načrt. -### 📚 Nastavitev celotnega kurikuluma +### 📚 Nastavitev celotnega učnega načrta -- Ustvarili smo a [setup lesson](./lessons/0-course-setup/setup.md) to help you with setting up your development environment. - Za izobraževalce smo prav tako ustvarili a [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) for you too! -- Kako [Run the code in a VSCode or a Codepace](./lessons/0-course-setup/how-to-run.md) +- Ustvarili smo [uvodni učni modul](./lessons/0-course-setup/setup.md), ki vam pomaga pri nastavitvi razvojnega okolja. - Za učitelje smo prav tako pripravili [uvodni učni modul za učitelje](./lessons/0-course-setup/for-teachers.md)! +- Kako [pognati kodo v VSCode ali Codepace](./lessons/0-course-setup/how-to-run.md) Sledite tem korakom: -Fork the Repository: Kliknite na gumb "Fork" v zgornjem desnem kotu te strani. +Razvejite repozitorij: Kliknite na gumb "Fork" v zgornjem desnem kotu te strani. Klonirajte repozitorij: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Ne pozabite repozitorij označiti z zvezdico (🌟), da ga boste lažje našli pozneje. +Ne pozabite dati zvezdice (🌟) temu repozitoriju, da ga boste lažje našli kasneje. -## Spoznajte druge udeležence +## Spoznajte druge učence -Pridružite se našemu [uradnemu AI Discord strežniku](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), da spoznate in navežete stik z drugimi udeleženci tega tečaja ter pridobite podporo. +Pridružite se našemu [uradnemu AI Discord strežniku](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), da spoznate in navežete stike z drugimi udeleženci tega tečaja ter dobite podporo. -Če imate povratne informacije o izdelku ali vprašanja med razvijanjem obiščite naš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +Če imate povratne informacije o izdelku ali vprašanja med gradnjo, obiščite naš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) -## Kvizi +## Kvizi -> **Opomba o kvizih**: Vsi kvizi se nahajajo v mapi Quiz-app v etc\quiz-app, ali [spletno tukaj](https://ff-quizzes.netlify.app/) Povezani so znotraj lekcij; aplikacijo kviza je mogoče zagnati lokalno ali namestiti v Azure; sledite navodilom v mapi `quiz-app`. Postopoma se lokalizirajo. +> **Opomba o kvizih**: Vsi kvizi so shranjeni v mapi Quiz-app znotraj etc\quiz-app, ali pa jih najdete [tukaj na spletu](https://ff-quizzes.netlify.app/). Do njih je mogoče dostopati iz učnih modulov. Aplikacijo za kvize lahko zaženete lokalno ali jo namestite v Azure; sledite navodilom v mapi `quiz-app`. Postopoma se lokalizirajo. ## Iščemo pomoč -Imate predloge ali ste našli napake v črkovanju ali kodi? Odprite issue ali ustvarite pull request. +Imate predloge ali ste našli napake v pravopisu ali kodi? Odprite vprašanje (issue) ali ustvarite pull request. -## Posebna zahvala +## Posebne zahvale * **✍️ Glavni avtor:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Urednik:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Ilustratorka sketchnotov:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **🎨 Ilustratorka skic:** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ Ustvarjalec kvizov:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Glavni prispevalci:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **🙏 Glavni prispevkarji:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Drugi kurikulumi +## Drugi učni načrti -Naša ekipa pripravlja tudi druge kurikulume! Oglejte si: +Naša ekipa ustvarja tudi druge učne načrte! Oglejte si: ### LangChain @@ -179,7 +190,7 @@ Naša ekipa pripravlja tudi druge kurikulume! Oglejte si: --- -### Serija generativne AI +### Serija generativne umetne inteligence [![Generativna AI za začetnike](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) [![Generativna 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) [![Generativna 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) @@ -188,35 +199,35 @@ Naša ekipa pripravlja tudi druge kurikulume! Oglejte si: --- ### Osnovno učenje -[![ML za začetnike](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) +[![Strojno učenje za začetnike](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) [![Podatkovna znanost za začetnike](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 za začetnike](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) [![Kibernetska varnost za začetnike](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) [![Spletni razvoj za začetnike](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 za začetnike](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 razvoj za začetnike](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) +[![Razvoj XR za začetnike](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) --- ### Serija Copilot -[![Copilot za 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 za AI parno programiranje](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 za 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) +[![Copilot avantura](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) -## Pridobivanje pomoči +## Iskanje pomoči -Če se zataknete ali imate vprašanja glede izdelave AI aplikacij, se pridružite drugim udeležencem in izkušenim razvijalcem v razpravah o MCP. To je podporna skupnost, kjer so vprašanja dobrodošla in se znanje prosto deli. +Če zataknete ali imate vprašanja o ustvarjanju AI aplikacij, se pridružite sošolcem in izkušenim razvijalcem v razpravah o MCP. Gre za podporno skupnost, kjer so vprašanja dobrodošla in so znanja prosto deljena. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Če imate povratne informacije o izdelku ali naletite na napake med razvojem, obiščite: +Če imate povratne informacije o izdelku ali napake med gradnjo, obiščite: -[![Forum razvijalcev 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) --- -Izjava o omejitvi odgovornosti: -Ta dokument je bil preveden z uporabo storitve za strojno prevajanje Co-op Translator (https://github.com/Azure/co-op-translator). Čeprav si prizadevamo za natančnost, vas opozarjamo, da avtomatizirani prevodi lahko vsebujejo napake ali netočnosti. Izvirni dokument v izvirnem jeziku velja za avtoritativni vir. Za kritične informacije priporočamo strokovni prevod, opravljen s strani človeka. Ne odgovarjamo za morebitne nesporazume ali napačne interpretacije, ki izhajajo iz uporabe tega prevoda. +**Omejitev odgovornosti**: +Ta dokument je bil preveden z uporabo storitve umetne inteligence za prevajanje [Co-op Translator](https://github.com/Azure/co-op-translator). Kljub prizadevanjem za natančnost vas opozarjamo, da avtomatizirani prevodi lahko vsebujejo napake ali netočnosti. Izvirni dokument v izvorni jezik se šteje za avtoritativni vir. Za pomembne informacije priporočamo strokovni prevod s strani človeka. Ne odgovarjamo za morebitna nerazumevanja ali napačne interpretacije, ki izhajajo iz uporabe tega prevoda. \ No newline at end of file diff --git a/translations/ta/README.md b/translations/ta/README.md index 35083332..77710988 100644 --- a/translations/ta/README.md +++ b/translations/ta/README.md @@ -1,204 +1,214 @@ -[![GitHub உரிமம்](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![GitHub பங்களிப்பாளர்கள்](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![GitHub பிரச்சினைகள்](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![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 வரவேற்கப்படுகின்றன](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![GitHub பார்வையாளர்கள்](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 நட்சத்திரங்கள்](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) -# Artificial Intelligence for Beginners - A Curriculum +# கலை நுண்ணறிவு ஆரம்பக் கற்கைத் திட்டம் |![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.ta.png)| |:---:| -| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI For Beginners - _சித்திரக்குறிப்பு [@girlie_mac](https://twitter.com/girlie_mac) மூலம்_ | -நமது 12 வார, 24 பாடங்களைக் கொண்ட பாடத்திட்டத்துடன் **செயற்கை நுண்ணறிவின்** (AI) உலகத்தை ஆய்வு செய்யுங்கள்! இது நடைமுறை பாடங்கள், க்விஸ் மற்றும் செயலறை (labs) ஆகியவற்றை உள்ளடக்கியுள்ளது. பாடத்திட்டம் தொடக்கத்திற்குரியதாக இருக்கும் மற்றும் TensorFlow மற்றும் PyTorch போன்ற கருவிகளையும், AI-இல் நெறிமுறைகளையும் (ethics) இணைக்கும். +எங்கள் 12-வார, 24-பாடம் பாடத்திட்டத்துடன் **கலைநுண்ணறிவு** (AI) உலகத்தை ஆராயுங்கள்! இது நடைமுறை பாடங்கள், வினாக்கள் மற்றும் ஆய்வுப்பணிகளைக் கொண்டுள்ளது. இந்த கற்கைத் திட்டம் ஆரம்பநிலைப் பயன்பாட்டிற்கு ஏற்றவாறும் TensorFlow மற்றும் PyTorch போன்ற கருவிகள் மற்றும் AI இல் நெறிமுறை விஷயங்களைக் கொண்டதாகும். -### 🌐 பல மொழி ஆதாரம் +### 🌐 பன்மொழி ஆதரவு -#### GitHub Action மூலம் ஆதரிக்கப்படுகிறது (தானியங்கி மற்றும் எப்போதும் புதுப்பிக்கப்பட்டது) +#### GitHub செயல்பாட்டின் மூலம் ஆதரிக்கப்பட்டது (தானாகவும் எப்போதும் புதுப்பிக்கப்பட்டதும்) [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)](../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](./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) + +> **உள்ளூரில் கிளோன் செய்வதற்கு விருப்பமா?** + +> இந்த களஞ்சியத்தில் 50+ மொழிபெயர்ப்புகள் உள்ளன, இது பதிவிறக்கக் கையாள்மையை பெரியதாக மாற்றுகிறது. மொழிபெயர்ப்புகளின்றி கிளோன் செய்ய sparse checkout ஐப் பயன்படுத்தவும்: +> ```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' +> ``` +> இந்த வழியில் நீங்கள் படிப்பை முடிக்க தேவையான அனைத்தும் விரைவான பதிவிறக்கத்துடன் கிடைக்கும். -**மேலும் மொழிபெயர்ப்பு ஆதரவுகள் தேவையெனில் பட்டியலிடப்பட்டுள்ள மொழிகள் [இங்கே](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) காணலாம்** +**மேலும் மொழிபெயர்ப்புகளுக்கு ஆதரவு தேவையாயின், அத்தகைய மொழிகள் [இங்கே](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) பட்டியலிடப்பட்டுள்ளன** -## சமுதாயத்தில் சேர்ந்துகொள்ளுங்கள் +## சமூகத்தில் சேரவும் [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## நீங்கள் என்ன கற்று கொள்ளப்போகிறீர்கள் +## நீங்கள் கற்றுக்கொள்ளப்போகிறீர்கள் -**[பாடத்திட்டத்தின் மன்ஜடம் (Mindmap)](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[பாடத்திட்டத்தின் மனப்படம்](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -இந்த பாடத்திட்டத்தில், நீங்கள் கற்றுக்கொள்ளப்போகிறீர்கள்: +இந்த பாடத்திட்டத்தில், நீங்கள் கற்றுக்கொள்ளவிருப்பது: -* "நல்ல பழைய" சின்னமுறை அணுகுமுறையுடன் கூடிய **அறிவுத் பிரதிநிதித்துவம்** மற்றும் காரணமுயர்வு (reasoning) போன்றவற்றைக் கொண்ட பல்வேறு செயற்கை நுண்ணறிவு அணுகுமுறைகள் ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* இன்றைய AI-யின் மையம் ஆன **நரம்பு வலையமைப்புகள்** மற்றும் **டீப் லேர்னிங்**. இந்த முக்கியமான தலைப்புகளின் பின்னணியையும், இரண்டு பிரபலமான கட்டமைப்புகளில் உள்ள குறியீடுகளைப் பயன்படுத்தி விளக்குவோம் - [TensorFlow](http://Tensorflow.org) மற்றும் [PyTorch](http://pytorch.org). -* படங்கள் மற்றும் உரையுடன் வேலை செய்யும் **நரம்பு கட்டமைப்புகள்**. சமீபத்திய மாதிரிகள் சிலவற்றை எட்டிப்பார், ஆனால் மிகஇறுதி நிலை( state-of-the-art ) வரை எல்லாம் கொண்டிருக்காமலும் இருக்கலாம். -* குறைவாகப் பயன்படும் AI அணுகுமுறைகள், உதாரணத்திற்கு **மரபணு ஆல்கோரிதம்கள்** மற்றும் **பன்மை-எஜெண்ட் அமைப்புகள்**. +* கலைநுண்ணறிவுக்கு வேறு-வேறு அணுகுமுறைகள், அதில் "நல்ல பழைய" குறிக்கோள் அடிப்படையிலான **அறிவுத்தொகுப்பு** மற்றும் காரணமறிதல் உள்ளன ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* நவீன AI இல் உள்ள மையமான **நரம்பியல் வலைப்பின்னல்கள்** மற்றும் **ஆழமான கற்றல்**. இந்த முக்கியமான தலைப்புகளின் பின்னணி கருத்துக்களை, இரண்டு மிகவும் பிரபலமான காரியமாக்கல் வடிவங்களில் - [TensorFlow](http://Tensorflow.org) மற்றும் [PyTorch](http://pytorch.org) ஆகியவற்றில் கோடுடன் எடுத்துக்காட்டுவோம். +* படங்கள் மற்றும் உரையுடன் வேலை செய்ய **நரம்பியல் கட்டமைப்புகள்**. சமீபத்திய மாதிரிகளை கவனிப்போம் ஆனால் நவீன நிலை-கலை பற்றிச் சற்று குறைவாக இருக்கலாம். +* அசலம் ஆகாத AI அணுகுமுறைகள், உதாரணமாக **ஜெனெட்டிக் ஆல்காரிதம்கள்** மற்றும் **பல-ஏஜென்ட் முறைமைகள்**. -இந்த பாடத்திட்டத்தில் நாம் பொருந்தாதவை: +இந்த பாடத்திட்டத்தில் நாம் பேசப் போவதில்லாதவை: -> [இந்த பாடத் தொகுப்பிற்கான அனைத்து கூடுதல் வளங்களையும் Microsoft Learn சேகரிப்பில் காண்கிறீர்கள்](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [இந்த பாடத்திட்டத்திற்கு அனைத்து கூடுதல் வளங்களையும் Microsoft Learn தொகுப்பில் காண்க](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* **வணிகத்தில் AI** பயன்பாட்டின் தொழில்நுட்ப வழக்குகள். இதற்காக Microsoft Learn-இல் உள்ள [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) பயிற்சி பாதையை அல்லது [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) (INSEAD உடன் இணைந்து உருவான) எடுத்துக்கொள்ள பரிந்துரைக்கிறோம். -* நன்கு விளக்கப்பட்டுள்ள **சார்ந்த இயந்திரக் கற்றலும் (Classic Machine Learning)**, இது எங்கள் [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) இல் விவரிக்கப்பட்டுள்ளது. -* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** பயன்படுத்தி உருவாக்கப்பட்ட நடைமுறை AI பயன்பாடுகள். இதற்கு, Microsoft Learn இன் [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)** மற்றும் பிற மொடியூள்களை தொடங்க பரிந்துரைக்கிறோம். -* குறிப்பிட்ட ML **மேக கட்டமைப்புகள்**, உதாரணமாக [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), அல்லது [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). இதற்கு [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) மற்றும் [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) ஆகிய பயிற்சி பாதைகளை பரிந்துரைக்கிறோம். -* **பேச்சுத் திறன் கொண்ட AI** மற்றும் **சாட் போட்கள் (Chat Bots)**. இதற்கான தனித்தனியான [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) பயிற்சி பாதை உள்ளது, மேலும் மேலதிக விவரங்களுக்கு [இந்த வலைப்பதிவு](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ஐக் காணலாம். -* தீவிரமான கணிதம் (Deep Mathematics) - டீப் லேர்னிங் பின்புலம். இதற்காக Ian Goodfellow, Yoshua Bengio மற்றும் Aaron Courville எழுதிய [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) புத்தகத்தை பரிந்துரைக்கிறோம், இது ஆன்லைனிலும் கிடைக்கிறது: [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* **AI வணிகத்தில்** பயன்படுத்தும் வணிக வழக்குகள். Microsoft Learn இல் [வணிகப் பயனாளர்களுக்கான AI அறிமுகம்](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) அல்லது [AI வணிகப்பள்ளி](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), [INSEAD](https://www.insead.edu/) உடன் ஒத்துழைத்து உருவாக்கப்பட்டது. +* நம் [தொடக்கக் பயனாளர்களுக்கான இயந்திரக் கற்றல் பாடத்திட்டம்](http://github.com/Microsoft/ML-for-Beginners) இல் முறையாக விவரிக்கப்பட்டுள்ள **சாதாரண இயந்திரக் கற்றல்**. +* **[அறிவாற்றல் சேவைகள்](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** பயன்படுத்தி உருவாக்கப்பட்ட நடைமுறை AI பயன்பாடுகள். இதற்காக, Microsoft Learn இல் [காணொளி](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [இயல்பழ்ச்சி மொழி செயலாக்கம்](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI சேவையுடன் உருவாக்கும் AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** மற்றும் பிற முதன்மை வகுப்புகளை தொடங்க பரிந்துரைக்கிறோம். +* குறிப்பிட்ட ML **மேக வடிவமைப்புகள்**, உதாரணமாக [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), அல்லது [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). [Azure Machine Learning பயன்படுத்தி இயந்திரக் கற்றல் தீர்வுகளை உருவாக்கி இயக்கு](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) மற்றும் [Azure Databricks மூலம் இயந்திரக் கற்றல் தீர்வுகளை உருவாக்கி இயக்கு](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) என்ற கற்றல் பாதைகளை பயன்படுத்து. +* **மொழிவழி AI** மற்றும் **அரட்டைப் பாட்டுகள்**. தனிப்பட்ட [மொழிவழி AI தீர்வுகளை உருவாக்கவும்](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) கற்றல் பாதை உள்ளது, மேலும் விரிவாக [இந்த வலைப்பதிவையும்](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) பார்க்கலாம். +* ஆழ்கழிவுப் பின்னணியில் உள்ள **ஆழமான கணிதங்கள்**. இதற்காக, Ian Goodfellow, Yoshua Bengio மற்றும் Aaron Courville எழுதிய [ஆழமான கற்றல்](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) புத்தகத்தை பரிந்துரைக்கிறோம், இது ஆன்லைனிலும் கிடைக்கிறது [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -_கடவுச்சொல்லுகள்: மேகத்தில் AI_ தொடர்பான மென்மையான அறிமுகத்திற்கு நீங்கள் [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 ஐ எடுத்துக் கொள்ளலாம். +_மேகத்தில் AI_ பற்றிய மென்மையான அறிமுகத்திற்குத் [Azure இல் கலைநுண்ணறிவுடன் துவக்கம்](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) கற்றல் பாதையை எடுத்துக் கொள்ளுங்கள். # உள்ளடக்கம் -| | பாடம் இணைப்பு | PyTorch/Keras/TensorFlow | Lab | +| | பாடத்திட்ட இணைப்பு | PyTorch/Keras/TensorFlow | ஆய்வுப் பணி | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Course Setup](./lessons/0-course-setup/setup.md) | [Setup Your Development Environment](./lessons/0-course-setup/how-to-run.md) | | -| I | [**Introduction to AI**](./lessons/1-Intro/README.md) | | | -| 01 | [Introduction and History of AI](./lessons/1-Intro/README.md) | - | - | -| II | **குறியீடு சார்ந்த செயற்கை நுண்ணறிவு** | -| 02 | [Knowledge Representation and Expert Systems](./lessons/2-Symbolic/README.md) | [Expert Systems](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**Introduction to Neural Networks**](./lessons/3-NeuralNetworks/README.md) ||| +| 0 | [பாடத்திட்ட அமைப்பு](./lessons/0-course-setup/setup.md) | [உங்கள் மேம்பாட்டு சூழலை அமைக்கவும்](./lessons/0-course-setup/how-to-run.md) | | +| I | [**AI அறிமுகம்**](./lessons/1-Intro/README.md) | | | +| 01 | [ஆறுபடியாகும் AI அறிமுகமும் வரலாறும்](./lessons/1-Intro/README.md) | - | - | +| II | **சின்னமூலம் AI** | +| 02 | [அறிவுத்தொகுப்பு மற்றும் நிபுணர் முறைமைகள்](./lessons/2-Symbolic/README.md) | [நிபுணர் முறைமைகள்](./lessons/2-Symbolic/Animals.ipynb) / [ஒன்டொலொஜி](./lessons/2-Symbolic/FamilyOntology.ipynb) /[கருத்துக் கோப்பு](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**நரம்பியல் வலைப்பின்னல்களின் அறிமுகம்**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [பெர்செப்ட்ரான்](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [நோட்புக்](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [லேப்](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [பன்மடைப் பெர்செப்ட்ரான் மற்றும் எங்கள் சொந்த ஃப்ரேம்வொர்க் உருவாக்குதல்](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [நோட்புக்](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [லேப்](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [நிரலமைப்புகளுக்கு அறிமுகம் (PyTorch/TensorFlow) மற்றும் ஓவர்ஃபிட்டிங்](./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) | [லேப்](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**கணினி பார்வை**](./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)| [Microsoft Azure-இல் கணினி பார்வையை ஆராயுங்கள்](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 04 | [பல அடுக்கு பெர்செப்ட்ரான் மற்றும் நம் சொந்த ஃப்ரேம்வொர்க்கை உருவாக்குதல்](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [நோட்புக்](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [லேப்](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [ஃப்ரேம்வொர்க்குக்களுக்கு அறிமுகம் (PyTorch/TensorFlow) மற்றும் ஓவர்ஃபிட்டிங்](./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) | [லேப்](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**கணினி பார்வை**](./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)| [Microsoft Azureல் கணினி பார்வையை ஆராய்க](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | | 06 | [கணினி பார்வைக்கு அறிமுகம். OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [நோட்புக்](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [லேப்](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [கான்வல்யூஷனல் நியூரல் நெட்வொர்க்குகள்](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN கட்டமைப்புகள்](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [லேப்](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [முன்-பயிற்சி செய்யப்பட்ட நெட்வொர்க்குகள் மற்றும் பரிமாற்றக் கற்றல்](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [பயிற்சி குறிமுறைகள்](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [லேப்](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 07 | [கான்வலூஷனல் நியூரல் நெட்வொர்க்குகள்](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN கட்டமைப்புகள்](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [லேப்](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [முன்பே பயிற்சிப்பட்ட நெட்வொர்க்குகள் மற்றும் பரிமாற்ற கற்றல்](./lessons/4-ComputerVision/08-TransferLearning/README.md) மற்றும் [பயிற்சி முறைகள்](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [லேப்](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [ஆட்டோஎன்கோடர்கள் மற்றும் VAEகள்](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Generative Adversarial Networks மற்றும் கலை ஸ்டைல் மாற்றம்](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [பொருள் கண்டறிதல்](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [லேப்](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | -| 12 | [அர்த்தபூர்வ செக்மென்டேஷன். 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 | [**இயற்கை மொழி செயலாக்கம்**](./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) | [Microsoft Azure-இல் இயற்கை மொழி செயலாக்கத்தை ஆராயுங்கள்](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [உரை பிரதிநிதித்துவம். 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 | [அர்த்தமுள்ள வார்த்தை எம்பெடிங்ஸ். Word2Vec மற்றும் 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 | [மொழி மாதிரிகள். உங்கள் சொந்த எம்பெடிங்களை பயிற்றல்](./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) | [லேப்](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [மீளும் நியூரல் நெட்வொர்க்குகள்](./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 | [Generative Recurrent Networks](./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) | [லேப்](./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 | [பெயர் அமைப்புக்களை அடையாளம் காணுதல்](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [லேப்](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [பெரிய மொழி மாதிரிகள், Prompt நிரலாக்கம் மற்றும் Few-Shot பணிகள்](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **மற்ற AI நுட்பங்கள்** || | -| 21 | [மரபணு ஆல்கோரிதங்கள்](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [நோட்புக்](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [ஆழமான பலனுறும் கற்றல்](./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) | [லேப்](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [பல-முகவர் அமைப்புகள்](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| 10 | [ஏற்றுமதி போட்டி நெட்வொர்க்குகள் மற்றும் கலைக்கலை மாற்றம்](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [உருப்படி கண்டுபிடித்தல்](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [லேப்](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 12 | [சாதாரண பிரிவாக்கம். U-வலை](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | +| V | [**உயிரியல் மொழி செயலாக்கம்**](./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) | [Microsoft Azureல் உயிரியல் மொழி செயலாக்கத்தை ஆராய்க](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [உரை பிரதிநிதித்துவம். 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 | [செயல்முறை வார்த்தை நுழைவுகள். Word2Vec மற்றும் 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 | [மொழி மாதிரிகை. உங்கள் சொந்த நுழைவுகளை பயிற்சி செய்தல்](./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) | [லேப்](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [புன்னவைக் நியூரல் நெட்வொர்க்குகள்](./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 | [செயற்கைவளர்ச்சி புன்னவைக் நெட்வொர்க்குகள்](./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) | [லேப்](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 18 | [டிரான்ஸ்ஃபார்மர்கள். 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 | [பெயர் அடையாள மீறல்](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [லேப்](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [பெரிய மொழி மாதிரிகள், பிராம்ட் நிரலாக்கம் மற்றும் குறைந்த-எடுத்துக் கொள்வது பணிகள்](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **மற்ற AI தொழில்நுட்பங்கள்** || | +| 21 | [புரொடக்கும் அல்கொரிதம்கள்](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [நோட்புக்](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [ஆழ்ந்த ரீஇன்போர்ஸ்மென்ட் கற்றல்](./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) | [லேப்](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [பல முகவர் அமைப்புகள்](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **AI நெறிமுறைகள்** | | | -| 24 | [AI நெறிமுறைகள் மற்றும் பொறுப்புணர்வான AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: பொறுப்புணர்வு AI கொள்கைகள்](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | **மேலதிகங்கள்** | | | -| 25 | [பல-முறை நெட்வொர்க்குகள், CLIP மற்றும் VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [நோட்புக்](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 24 | [AI நெறிமுறைகள் மற்றும் பொறுப்புள்ள AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: பொறுப்புள்ள AI கொள்கைகள்](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| IX | **அதிகம்** | | | +| 25 | [பல-மாதிரி நெட்வொர்க்குகள், CLIP மற்றும் VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [நோட்புக்](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | -## ஒவ்வொரு பாடத்திலும் உள்ளவை +## ஒவ்வொரு பாடத்திட்டமும் கொண்டிருக்கும் -* முன் வாசிப்பு பொருள் -* இயக்கக்கூடிய Jupyter நோட்டுபுக்‌கள், பொதுவாக ஒரு குறிப்பிட்ட ஃப்ரேம்வொர்க்கிற்கு (**PyTorch** அல்லது **TensorFlow**) இணைக்கப்பட்டிருக்கும். இயக்கக்கூடிய நோட்டுபுக்‌லும் பல கோட்பாட்டுத் தகவல்களைக் கொண்டுள்ளது; அதனால் தலைப்பை புரிந்து கொள்ள நீங்கள் குறைந்தது ஒரு பதிப்பு (PyTorch அல்லது TensorFlow) ஒன்று மூலம் செல்ல வேண்டும். -* சில தலைப்புகளுக்கு **Labs** கிடைக்கும், அவை நீங்கள் கற்றுக்கொண்ட உள்ளடக்கத்தை ஒரு குறிப்பிட்ட பிரச்சினையில் செயல்படுத்தி முயற்சிக்க உதவுகிறது. -* சில பிரிவுகளில் தொடர்புடைய தலைப்புகளை உள்ளடக்கிய [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) மாட்யூல்கள் இணைக்கப்பட்டுள்ளன. +* முன்னோக்கு வாசிப்பு பொருள் +* இயக்கக்கூடிய ஜூபிடர் நோட்புக்குகள், அவை பெரும்பாலும் குறிப்பிட்ட ஃப்ரேம்வொர்க் (**PyTorch** அல்லது **TensorFlow**)க்கு ஏற்றவையாக இருக்கும். இயக்கக்கூடிய நோட்புக் பெரிதும் கோட்பாட்டினைப் கொண்டுள்ளது, எனவே தலைப்பை புரிந்துகொள்ள நீங்கள் குறைந்தபட்சம் ஒரு நோட்புக் பதிப்பை (PyTorch அல்லது TensorFlow எதுவாக இருந்தாலும்) மேற்கொள்ள வேண்டும். +* சில பொருட்களுக்கு **லேப்கள்** கிடைக்கின்றன, அவைகள் நீங்கள் கற்றுக் கொண்ட பொருளை ஒரு குறிப்பிட்ட பிரச்சினைக்கு பயன்படுத்த முயற்சிக்கும் வாய்ப்பைக் கொடுக்கின்றன. +* சில பிரிவுகளில் தொடர்புடைய தலைப்புகளை உள்ளடக்கிய [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) மொடியுல்கள் இணைக்கப்பட்டுள்ளன. -## தொடங்குவது +## துவக்கம் -### 🎯 AI-யில் புதியவரா? இங்கே தொடங்குங்கள்! +### 🎯 AI இல் புதியவர்? இங்கே தொடங்குங்கள்! -நீங்கள் AI-யில் முற்றிலும் புதியவராக இருந்து விரைவான, கைகொண்டுள்ள உதாரணங்களை காண விரும்பினால், எங்கள் [**புதியவர்களுக்கான உதாரணங்கள்**](./examples/README.md)-ஐப் பார்க்கவும்! இவை உள்ளன: +நீங்கள் AI பற்றி முழுமையாக புதியவராக இருந்தால் மற்றும் விரைவான, கைமுறையாக எடுத்துக்காட்டுகள் தேவைப்படுமானால், எங்கள் [**ஆரம்பக மாணவர்களுக்கான எடுத்துக்காட்டுகள்**](./examples/README.md) பார்க்கவும்! இவை அடங்கும்: -- 🌟 **Hello AI World** - உங்கள் முதல் AI நிரல் (உடைமைPattern அடையாளம்) -- 🧠 **எளிய நியூரல் நெட்வொர்க்** - ஒரு நியூரல் நெட்வொர்க்கை ஆரம்பத்திலிருந்து கட்டமைக்கவும் -- 🖼️ **பட வகைப்புரை** - விரிவான கருத்துக்களுடன் படங்களை வகைப்படுத்துதல் -- 💬 **உரை உணர்ச்சி** - நேர்மறை/எதிர்மறை உரையை பகுப்பாய்வு செய் +- 🌟 **ஹலோ AI உலகம்** - உங்கள் முதல் AI நிகழ்ச்சி (முறை அங்கீகாரம்) +- 🧠 **எளிய நியூரல் நெட்வொர்க்** - தொடக்கம் முதல் நியூரல் நெட்வொர்க்கை உருவாக்குதல் +- 🖼️ **பட வகைப்பாட்டு மென்பொருள்** - விரிவான குறிப்பு கொண்ட படங்களை வகைப்படுத்துதல் +- 💬 **உரை உணர்வு** - நேர்மறை/எதிர்மறை உரையை பகுப்பாய்வு செய்க -These examples are designed to help you understand AI concepts before diving into the full curriculum. +இந்த உதாரணங்கள் முழு பாடத்திட்டத்தில் இறங்குவதற்கு முன் AI கருத்துக்களை புரிந்து கொள்ள உங்களை உதவ உருவாக்கப்பட்டவை. ### 📚 முழு பாடத்திட்ட அமைப்பு -- நாங்கள் உங்கள் அபிவிருத்தி சூழலை அமைக்க உதவ [அமைப்பு பாடம்](./lessons/0-course-setup/setup.md) ஒன்றை உருவாக்கியுள்ளோம். - கல்வியாளர்களுக்கு, நாங்கள் ஒரு [பாடத்திட்ட அமைப்பு பாடம்](./lessons/0-course-setup/for-teachers.md) உங்களுக்காகவும் உருவாக்கியுள்ளோம்! -- எவ்வாறு [VSCode அல்லது Codepace-இல் கோடை இயக்குவது](./lessons/0-course-setup/how-to-run.md) +- உங்கள் மேம்படுத்தும் சூழலை அமைக்க உதவ [அமைப்பு பாடம்](./lessons/0-course-setup/setup.md) நாம் உருவாக்கி உள்ளோம். - கல்வியாளர்களுக்கு, உங்கள் கூட [பாடத்திட்ட அமைப்பு பாடம்](./lessons/0-course-setup/for-teachers.md) உருவாக்கபட்டுள்ளது! +- [VSCode அல்லது Codepace இல் குறியீட்டை இயக்க](./lessons/0-course-setup/how-to-run.md) எப்படி என்பது. -Follow these steps: +இந்த படிகளை பின்பற்றவும்: -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +தொகுப்பை கிளோன் செய்க: இந்தப் பக்கத்தின் மேல் வலது முனையில் உள்ள "Fork" பொத்தானைக் கிளிக் செய்யவும். -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +தொகுப்பை கிளோன் செய்க: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +பின்னர் அதை எளிதில் கண்டுபிடிப்பதற்காக இந்த ரெப்போக்கு நட்சத்திரம் (🌟) வைப்பதை மறக்க வேண்டாம். -## பிற கற்றலாளர்களை சந்திக்கவும் +## பிற கற்றுக்கொள்பவர்கள் -Join our [அதிகாரப்பூர்வ AI Discord சர்வர்](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) to meet and network with other learners taking this course and get support. +இந்த பாடத்தை படிக்கும் பிற கற்றுக்கொள்பவர்களை சந்திக்கவும் வலைப்புள்ளி அமைப்பில் நமது [அதிகாரப்பூர்வ AI Discord சர்வர்](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) கு சேரவும் மற்றும் பாடத்தில்திருக்கும் ஆதரவை பெறவும். -If you have product feedback or questions whilst building visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +உங்கள் தயாரிப்பு பின்னூட்டம் அல்லது கேள்விகள் இருந்தால், கட்டமைக்கும் போது நமது [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) ஐப் பார். -## தேர்வுகள் +## வினாக vragen -> **தேர்வுகள் குறித்த ஒரு குறிப்பு**: All quizzes are contained in the Quiz-app folder in etc\quiz-app, or [இணையில் இங்கே](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. +> **வினாக்களைப் பற்றி ஒரு குறிப்பு**: எல்லா வினாக்களும் Quiz-app கோப்புறையில் etc\quiz-app இல் உள்ளன, அல்லது [இணையத்தில் இங்கே](https://ff-quizzes.netlify.app/) கிடைக்கும். அவை பாடங்களில் இணைக்கப்பட்டுள்ளன. வினாக்களுக்கான செயலி உள்ளூர் அல்லது Azure இல் இயக்கப்படலாம்; `quiz-app` கோப்புறையிலுள்ள வழிமுறைகளை பின்பற்றவும். அவை படிப்படியாக உள்ளூர்துகொள்ளப்படுகின்றன. ## உதவி தேவை -Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request. +உங்களுக்கு பரிந்துரைகள் உள்ளதா அல்லது எழுத்துப்பிழைகள் அல்லது குறியீடு பிழைகள் கண்டுபிடித்தீர்களா? ஒரு கேள்வி எழுப்பவும் அல்லது ஒரு புல் கோரிக்கை உருவாக்கவும். ## சிறப்பு நன்றி * **✍️ பிரதான ஆசிரியர்:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 தொகுப்பாளர்:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 ஸ்கெட்ச்நோட் வரைதாரர்:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ தேர்வு உருவாக்குனர்:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🔥 திருத்தியவர்:** [Jen Looper](https://twitter.com/jenlooper), PhD +* **🎨 ஸ்கெட்ச் நோட் ஓவியர்:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ வினா உருவாக்கியவர்:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) * **🙏 முக்கிய பங்களிப்பாளர்கள்:** [Evgenii Pishchik](https://github.com/Pe4enIks) ## பிற பாடத்திட்டங்கள் -Our team produces other curricula! Check out: +எங்கள் அணியினர் பிற பாடத்திட்டங்களையும் உருவாக்குகின்றனர்! பாருங்கள்: ### LangChain -[![LangChain4j தொடக்கர்களுக்கு](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 தொடக்கர்களுக்கு](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 / ஏஜென்ட்கள் -[![AZD தொடக்கர்களுக்கு](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 தொடக்கர்களுக்கு](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 தொடக்கர்களுக்கு](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 ஏஜென்ட்கள் தொடக்கர்களுக்கு](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) --- -### Generative AI தொடர் -[![Generative AI தொடக்கர்களுக்கு](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) தொடக்கர்களுக்கு](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) தொடக்கர்களுக்கு](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) தொடக்கர்களுக்கு](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) +### 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) --- ### மூலக் கற்றல் -[![ML தொடக்கர்களுக்கு](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 தொடக்கர்களுக்கு](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 தொடக்கர்களுக்கு](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 தொடக்கர்களுக்கு](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 தொடக்கர்களுக்கு](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 தொடக்கர்களுக்கு](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 தொடக்கர்களுக்கு](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) --- -### Copilot தொடர் +### கோப்பைலட் தொடர் [![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) @@ -206,17 +216,17 @@ Our team produces other curricula! Check out: ## உதவி பெறுதல் -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. +நீங்கள் சிக்கிச்செய்கின்றீர்களா அல்லது AI செயலிகளைக் கட்டுமானம் செய்வதில் ஏதாவது கேள்விகள் உள்ளதா? MCP பற்றிய விவாதங்களில் பிற கற்றுக்கொள்பவர்கள் மற்றும் அனுபவம் வாய்ந்த டெவலப்பர்களுடன் சேருங்கள். கேள்விகள் வரவேற்கப்படுகின்றன மற்றும் அறிவு சுதந்திரமாக பகிரப்படுகிறது. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -If you have product feedback or errors while building visit: +உங்கள் தயாரிப்பில் பின்னூட்டமோ பிழைகளோ இருந்தால், கீழ்க்கண்ட இடத்தைப் பார்க்கவும்: [![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) --- -மறுப்பு அறிவிப்பு: -இந்த ஆவணம் AI மொழிபெயர்ப்பு சேவை [Co-op Translator](https://github.com/Azure/co-op-translator) பயன்படுத்தி மொழிபெயர்க்கப்பட்டது. நாங்கள் துல்லியத்திற்காக முயலினாலும், தானாக நடைபெறும் மொழிபெயர்ப்புகளில் பிழைகள் அல்லது தவறுகள் இருக்கக்கூடும் என்பதை கவனத்தில் கொள்ளுங்கள். தாய்மொழியில் இருக்கும் அசல் ஆவணம் அதிகாரப்பூர்வ மூலமாக கருதப்பட வேண்டும். முக்கியமான தகவல்களுக்கு, தொழில் நுட்பமுள்ள மனித மொழிபெயர்ப்பாளரிடம் மொழிபெயர்ப்பு செய்தலே சிறந்தது. இந்த மொழிபெயர்ப்பைப் பயன்படுத்தியதால் ஏற்படும் எந்தவொரு தவறான புரிதல்களுக்கும் அல்லது தவறான விளக்கங்களுக்கும் நாங்கள் பொறுப்பேற்க மாட்டோம். +**பிரதி பொறுப்பேற்கவில்லை**: +இந்த ஆவணம் AI மொழிபெயர்ப்பு சேவை [Co-op Translator](https://github.com/Azure/co-op-translator) மூலம் மொழிபெயர்க்கப்பட்டது. நாம் துல்லியத்திற்காக முயன்றாலும், தானாக செய்யப்பட்ட மொழிபெயர்ப்புகளில் பிழைகள் அல்லது தவறுகள் இருக்கக்கூடும் என்பதை கவனியுங்கள். ஆவணத்தின் இயல்புநிலை மொழியில் உள்ள மூலம் அங்கீகரிக்கப்பட்ட அதிகாரப்பூர்வமான தகவலாக கருதப்பட வேண்டும். முக்கியமான தகவல்களுக்கு, தொழில்முறை மனித மொழிபெயர்ப்பை பரிந்துரைக்கிறோம். இந்த மொழிபெயர்ப்பின் பயன்பாட்டில் ஏற்படும் எந்த தவறுகள் அல்லது தவறான புரிதல்களுக்கும் நாங்கள் பொறுப்பாளர்கள் அல்ல. \ No newline at end of file diff --git a/translations/uk/README.md b/translations/uk/README.md index 2f357e6c..a5b4a14c 100644 --- a/translations/uk/README.md +++ b/translations/uk/README.md @@ -1,168 +1,179 @@ -[![Ліцензія GitHub](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![Співавтори GitHub](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![Проблеми GitHub](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![Pull-запити GitHub](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PR запити вітаються](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) -[![Спостерігачі GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![Форки GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![Зірки 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) -# Штучний інтелект для початківців — навчальна програма +# Штучний Інтелект для Початківців - Учбова Програма -|![Ескіз від @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.uk.png)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.uk.png)| |:---:| -| Штучний інтелект для початківців - _Ескіз від [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI For Beginners - _Скетчнот від [@girlie_mac](https://twitter.com/girlie_mac)_ | -Explore the world of **штучного інтелекту** (ШІ) with our 12-week, 24-lesson curriculum! Вона включає практичні уроки, тести та лабораторні роботи. The curriculum is beginner-friendly and covers tools like TensorFlow and PyTorch, as well as ethics in AI +Вивчайте світ **Штучного Інтелекту** (AI) за нашою 12-тижневою програмою з 24 уроків! Вона включає практичні заняття, вікторини та лабораторні роботи. Програма дружня до початківців і охоплює інструменти, такі як TensorFlow і PyTorch, а також етику у AI. -### 🌐 Підтримка кількох мов -#### Підтримується через GitHub Action (автоматизовано та завжди актуально) +### 🌐 Підтримка багатьох мов + +#### Підтримується через GitHub Action (Автоматизовано та Завжди Оновлено) -[Арабська](../ar/README.md) | [Бенгальська](../bn/README.md) | [Болгарська](../bg/README.md) | [Бірманська (М'янма)](../my/README.md) | [Китайська (спрощена)](../zh/README.md) | [Китайська (традиційна, Гонконг)](../hk/README.md) | [Китайська (традиційна, Макао)](../mo/README.md) | [Китайська (традиційна, Тайвань)](../tw/README.md) | [Хорватська](../hr/README.md) | [Чеська](../cs/README.md) | [Данська](../da/README.md) | [Нідерландська](../nl/README.md) | [Естонська](../et/README.md) | [Фінська](../fi/README.md) | [Французька](../fr/README.md) | [Німецька](../de/README.md) | [Грецька](../el/README.md) | [Іврит](../he/README.md) | [Хінді](../hi/README.md) | [Угорська](../hu/README.md) | [Індонезійська](../id/README.md) | [Італійська](../it/README.md) | [Японська](../ja/README.md) | [Каннада](../kn/README.md) | [Корейська](../ko/README.md) | [Литовська](../lt/README.md) | [Малайська](../ms/README.md) | [Малаялам](../ml/README.md) | [Маратхі](../mr/README.md) | [Непальська](../ne/README.md) | [Нігерійський піджин](../pcm/README.md) | [Норвезька](../no/README.md) | [Перська (фарсі)](../fa/README.md) | [Польська](../pl/README.md) | [Португальська (Бразилія)](../br/README.md) | [Португальська (Португалія)](../pt/README.md) | [Пенджабська (гурмукхі)](../pa/README.md) | [Румунська](../ro/README.md) | [Російська](../ru/README.md) | [Сербська (кирилиця)](../sr/README.md) | [Словацька](../sk/README.md) | [Словенська](../sl/README.md) | [Іспанська](../es/README.md) | [Суахілі](../sw/README.md) | [Шведська](../sv/README.md) | [Тагальська (філіппінська)](../tl/README.md) | [Тамільська](../ta/README.md) | [Телугу](../te/README.md) | [Тайська](../th/README.md) | [Турецька](../tr/README.md) | [Українська](./README.md) | [Урду](../ur/README.md) | [В'єтнамська](../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)](../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](./README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) + +> **Віддаєте перевагу клонувати локально?** + +> Цей репозиторій включає понад 50 мовних перекладів, що значно збільшує розмір завантаження. Щоб клонувати без перекладів, використовуйте 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' +> ``` +> Це дасть вам все необхідне для проходження курсу з набагато швидшим завантаженням. -**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)** +**Якщо ви хочете, щоб були підтримані додаткові мови перекладів, вони перераховані [тут](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Приєднуйтесь до спільноти [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) ## Чого ви навчитесь -**[Ментальна мапа курсу](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[Ментальна карта курсу](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -У цій навчальній програмі ви дізнаєтесь: +У цій програмі ви вивчите: -* Різні підходи до штучного інтелекту, включаючи "старий добрий" символічний підхід із **представленням знань** та виведенням ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Нейронні мережі** та **глибинне навчання**, які є серцем сучасного ШІ. Ми проілюструємо концепції за цими важливими темами за допомогою коду в двох із найпопулярніших фреймворків - [TensorFlow](http://Tensorflow.org) і [PyTorch](http://pytorch.org). -* **Нейронні архітектури** для роботи з зображеннями та текстом. Ми охопимо сучасні моделі, але можливо трохи відставатимемо від найновіших досягнень. -* Менш поширені підходи в ШІ, такі як **генетичні алгоритми** та **багатоагентні системи**. +* Різні підходи до Штучного Інтелекту, включаючи "старий добрий" символічний підхід з **Представленням Знань** та логічним виведенням ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Нейронні мережі** та **Глибинне навчання**, які є ядром сучасного AI. Ми проілюструємо концепції цих важливих тем, використовуючи код у двох найпопулярніших фреймворках – [TensorFlow](http://Tensorflow.org) і [PyTorch](http://pytorch.org). +* **Нейронні архітектури** для роботи з зображеннями та текстом. Ми розглянемо новітні моделі, хоча вони можуть дещо відставати від останніх досягнень. +* Менш популярні підходи в AI, такі як **Генетичні алгоритми** та **Багатоагентні системи**. -Що ми не будемо охоплювати в цій програмі: +Чого ми не розглядатимемо у цій програмі: -> [Знайдіть усі додаткові ресурси для цього курсу в нашій колекції Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Знайдіть всі додаткові ресурси для цього курсу в нашій колекції Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Бізнес-кейси використання **ШІ в бізнесі**. Розгляньте проходження навчального шляху [Вступ до ШІ для бізнес-користувачів](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) на Microsoft Learn, або [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), розроблену у співпраці з [INSEAD](https://www.insead.edu/). -* **Класичне машинне навчання**, яке добре описане в нашій [навчальній програмі «Машинне навчання для початківців»](http://github.com/Microsoft/ML-for-Beginners). -* Практичні AI-додатки, побудовані з використанням **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Для цього ми радимо почати з модулів Microsoft Learn для [комп'ютерного зору](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [обробки природної мови](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Генеративний ШІ з Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** та інші. -* Конкретні хмарні фреймворки для МЛ, такі як [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) або [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Розгляньте використання навчальних шляхів [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) та [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). -* **Розмовний ШІ** та **чат-боти**. Існує окремий навчальний шлях [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), а також ви можете звернутися до [цієї публікації в блозі](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) для детальнішої інформації. -* **Глибока математика**, яка стоїть за глибинним навчанням. Для цього ми рекомендуємо книгу [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) авторів Ian Goodfellow, Yoshua Bengio та Aaron Courville, яка також доступна онлайн за адресою [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Бізнес-кейси використання **AI у бізнесі**. Рекомендуємо пройти [Вступ до AI для бізнес-користувачів](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) на Microsoft Learn або [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), розроблений у співпраці з [INSEAD](https://www.insead.edu/). +* **Класичне машинне навчання**, яке добре описане у нашій [Програмі для початківців з машинного навчання](http://github.com/Microsoft/ML-for-Beginners). +* Практичні застосування AI, побудовані з використанням **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Для цього рекомендуємо почати з модулів Microsoft Learn по [зору](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [обробці природної мови](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Генеративний AI з Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** та інші. +* Специфічні ML **хмарні фреймворки**, такі як [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) або [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Розгляньте використання навчальних шляхів [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) та [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). +* **Розмовний AI** та **Чат-боти**. Є окремий навчальний шлях [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), а також ви можете звернутися до [цього блогу](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) для детальнішої інформації. +* **Глибока математика** за глибоким навчанням. Для цього рекомендуємо книгу [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) авторів Ян Гудфеллоу, Йошуа Бенджіо та Аарон Куорвіль, яка також доступна онлайн за адресою [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Для м’якого введення в теми _ШІ в хмарі_ ви можете розглянути проходження навчального шляху [Початок роботи зі штучним інтелектом в Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) на Microsoft Learn. +Для плавного введення у теми _AI у хмарі_ рекомендуємо навчальний шлях [Початок роботи зі штучним інтелектом на Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Зміст | | Посилання на урок | PyTorch/Keras/TensorFlow | Лабораторна робота | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Налаштування курсу](./lessons/0-course-setup/setup.md) | [Налаштування середовища розробки](./lessons/0-course-setup/how-to-run.md) | | -| I | [**Вступ до ШІ**](./lessons/1-Intro/README.md) | | | -| 01 | [Вступ та історія ШІ](./lessons/1-Intro/README.md) | - | - | -| II | **Символічний ШІ** | -| 02 | [Представлення знань та експертні системи](./lessons/2-Symbolic/README.md) | [Експертні системи](./lessons/2-Symbolic/Animals.ipynb) / [Онтологія](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Граф концепцій](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| 0 | [Налаштування курсу](./lessons/0-course-setup/setup.md) | [Налаштуйте ваше середовище розробки](./lessons/0-course-setup/how-to-run.md) | | +| I | [**Вступ до AI**](./lessons/1-Intro/README.md) | | | +| 01 | [Вступ та історія AI](./lessons/1-Intro/README.md) | - | - | +| II | **Символічний AI** | +| 02 | [Представлення знань та експертні системи](./lessons/2-Symbolic/README.md) | [Експертні системи](./lessons/2-Symbolic/Animals.ipynb) / [Онтологія](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Граф концептів](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Вступ до нейронних мереж**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [Перцептрон](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Блокнот](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Лабораторна робота](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Багатошаровий перцептрон та створення власного фреймворку](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Блокнот](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Лабораторна робота](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Вступ до фреймворків (PyTorch/TensorFlow) та перенавчання](./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) | [Лабораторна робота](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Комп'ютерний зір**](./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)| [Досліджуйте комп'ютерний зір на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Вступ до комп'ютерного зору. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Блокнот](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Лабораторна робота](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Згорткові нейронні мережі](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Архітектури 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) | [Лабораторна робота](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Попередньо навчені мережі та перенесення навчання](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Поради з навчання](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лабораторна робота](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [Автокодери та 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 | [Генеративно-змагальні мережі та перенесення художнього стилю](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [Виявлення об'єктів](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Лабораторна робота](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 03 | [Персептрон](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Ноутбук](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Лабораторна](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [Багатошаровий персептрон та створення власного фреймворку](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Ноутбук](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Лабораторна](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Вступ до фреймворків (PyTorch/TensorFlow) та перенавчання](./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) | [Лабораторна](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Комп’ютерний зір**](./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)| [Дослідіть комп’ютерний зір на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [Вступ до комп’ютерного зору. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Ноутбук](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Лабораторна](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [Згорткові нейронні мережі](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Архітектури 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) | [Лабораторна](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Попередньо навчені мережі та перенавчання](./lessons/4-ComputerVision/08-TransferLearning/README.md) і [Трюки тренування](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лабораторна](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [Автокодировувачі та 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 | [Генеративні змагальні мережі та перенесення художнього стилю](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [Виявлення об’єктів](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Лабораторна](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Семантична сегментація. 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 | [**Обробка природної мови**](./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) | [Досліджуйте обробку природної мови на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| V | [**Обробка природної мови**](./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) | [Дослідіть обробку природної мови на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| | 13 | [Представлення тексту. 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 | [Семантичні векторні представлення слів. Word2Vec і 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 | [Моделювання мови. Навчання власних векторних представлень](./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) | [Лабораторна робота](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 14 | [Семантичні векторні подання слів. Word2Vec і 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 | [Моделювання мови. Навчання власних ембеддингів](./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) | [Лабораторна](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [Рекурентні нейронні мережі](./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 | [Генеративні рекурентні мережі](./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) | [Лабораторна робота](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 17 | [Генеративні рекурентні мережі](./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) | [Лабораторна](./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 | [Розпізнавання іменованих сутностей](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Лабораторна робота](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Великі мовні моделі, програмування підказок та задачі з малою кількістю прикладів](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **Інші методи ШІ** || | -| 21 | [Генетичні алгоритми](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Блокнот](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Глибоке підкріплювальне навчання](./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) | [Лабораторна робота](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [Багатоагентні системи](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| 19 | [Розпізнавання іменованих сутностей](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Лабораторна](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Великі мовні моделі, програмування промптів та few-shot завдання](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **Інші техніки ШІ** || | +| 21 | [Генетичні алгоритми](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Ноутбук](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [Глибоке підкріплювальне навчання](./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) | [Лабораторна](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [Багатокористувацькі системи](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **Етика ШІ** | | | -| 24 | [Етика ШІ та відповідальний ШІ](./lessons/7-Ethics/README.md) | [Microsoft Learn: Принципи відповідального ШІ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | **Додаткові матеріали** | | | -| 25 | [Багатомодальні мережі, CLIP та VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Блокнот](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 24 | [Етика ШІ та відповідальний ІІ](./lessons/7-Ethics/README.md) | [Microsoft Learn: принципи відповідального ІІ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| IX | **Додатково** | | | +| 25 | [Мультимодальні мережі, CLIP та VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Ноутбук](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Кожен урок містить -* Підготовчі матеріали -* Виконувані Jupyter-ноутбуки, які часто специфічні для фреймворку (**PyTorch** або **TensorFlow**). Виконуваний ноутбук також містить багато теоретичного матеріалу, тому, щоб зрозуміти тему, вам потрібно пройти щонайменше одну версію ноутбука (або PyTorch, або TensorFlow). -* **Лабораторні роботи** доступні для деяких тем, що дають вам можливість спробувати застосувати вивчений матеріал до конкретної задачі. -* Деякі розділи містять посилання на [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) модулі, які охоплюють суміжні теми. +* Матеріали для передчитання +* Виконувані Jupyter ноутбуки, які часто специфічні для фреймворку (**PyTorch** або **TensorFlow**). Виконуваний ноутбук також містить багато теоретичного матеріалу, тому для розуміння теми потрібно пройти принаймні одну версію ноутбука (або PyTorch, або TensorFlow). +* **Лабораторні роботи** доступні для деяких тем, які дають можливість спробувати застосувати вивчений матеріал до конкретної задачі. +* Деякі розділи містять посилання на модулі [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), що охоплюють відповідні теми. ## Початок роботи ### 🎯 Новачок у ШІ? Почніть тут! -Якщо ви повністю новачок у ШІ і хочете швидкі практичні приклади, перегляньте наші [**Приклади для початківців**](./examples/README.md)! Вони включають: +Якщо ви зовсім новачок у ШІ і хочете швидкі практичні приклади, перегляньте наші [**Приклади для початківців**](./examples/README.md)! Вони включають: - 🌟 **Hello AI World** - Ваша перша програма ШІ (розпізнавання шаблонів) -- 🧠 **Simple Neural Network** - Побудуйте нейронну мережу з нуля -- 🖼️ **Image Classifier** - Класифікація зображень з детальними коментарями -- 💬 **Тональність тексту** - Аналіз позитивного/негативного тексту +- 🧠 **Проста нейронна мережа** - Побудуйте нейронну мережу з нуля +- 🖼️ **Класифікатор зображень** - Класифікація зображень з детальними коментарями +- 💬 **Аналіз настрою тексту** - Аналіз позитивного/негативного тексту -These examples are designed to help you understand AI concepts before diving into the full curriculum. +Ці приклади призначені, щоб допомогти вам зрозуміти концепції ШІ перед тим, як зануритись у повний курс. -### 📚 Налаштування повної навчальної програми +### 📚 Налаштування повного курсу -- Ми створили a [setup lesson](./lessons/0-course-setup/setup.md) to help you with setting up your development environment. - Для викладачів, ми також створили a [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) for you too! +- Ми створили [урок налаштування](./lessons/0-course-setup/setup.md), щоб допомогти вам налаштувати ваше середовище розробки. - Для викладачів ми також створили [урок налаштування навчальної програми](./lessons/0-course-setup/for-teachers.md)! - Як [запустити код у VSCode або Codepace](./lessons/0-course-setup/how-to-run.md) -Follow these steps: +Дотримуйтесь цих кроків: -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +Форкніть Репозиторій: Натисніть кнопку "Fork" у верхньому правому куті цієї сторінки. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Клонуйте Репозиторій: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +Не забудьте додати зірочку (🌟) цьому репозиторію, щоб легше було його знайти пізніше. -## Познайомтеся з іншими учнями +## Знайомтесь з іншими учнями -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. +Приєднуйтесь до нашого [офіційного Discord-сервера ШІ](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), щоб зустрітися і поспілкуватись з іншими учнями курсу та отримати підтримку. -If you have product feedback or questions whilst building visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +Якщо у вас є відгуки про продукт або питання під час розробки, завітайте на наш [форум розробників Azure AI Foundry](https://aka.ms/foundry/forum) -## Quizzes +## Вікторини -> **Примітка щодо тестів**: 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. +> **Примітка щодо вікторин**: Всі вікторини знаходяться у папці Quiz-app у etc\quiz-app, або [онлайн тут](https://ff-quizzes.netlify.app/). Вони пов’язані з уроками, додаток вікторин можна запускати локально або розгортати в Azure; дотримуйтесь інструкцій у папці `quiz-app`. Вікторини поступово локалізуються. ## Потрібна допомога -Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request. +У вас є пропозиції або ви знайшли помилки у тексті чи коді? Створіть issue або pull request. ## Особлива подяка * **✍️ Головний автор:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Редактор:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Ілюстратор скетч-нотаток:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ Автор тестів:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Ключові учасники:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **🎨 Ілюстратор замальовок:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ Творець вікторин:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 Основні учасники:** [Evgenii Pishchik](https://github.com/Pe4enIks) ## Інші навчальні програми -Our team produces other curricula! Check out: +Наша команда створює й інші навчальні програми! Перегляньте: ### LangChain @@ -175,7 +186,7 @@ Our team produces other curricula! Check out: [![AZD для початківців](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 для початківців](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 для початківців](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 для початківців](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) +[![Агенти ШІ для початківців](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) --- @@ -188,35 +199,35 @@ Our team produces other curricula! Check out: --- ### Основне навчання -[![ML для початківців](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 для початківців](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 для початківців](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) +[![Машинне навчання для початківців](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) +[![Наука про дані для початківців](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) +[![ШІ для початківців](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) [![Кібербезпека для початківців](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-розробка для початківців](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 для початківців](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-розробка для початківців](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) +[![Веб-розробка для початківців](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) +[![Інтернет речей для початківців](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) +[![Розробка XR для початківців](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) --- ### Серія Copilot -[![Copilot для парного програмування з 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 для парного програмування з ШІ](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 для 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) ## Отримання допомоги -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. +Якщо ви застрягли або маєте питання щодо створення ШІ-додатків, приєднуйтесь до інших учнів і досвідчених розробників у дискусіях про MCP. Це підтримуюча спільнота, де питання вітаються, а знання вільно поширюються. -[![Discord сервер 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) -If you have product feedback or errors while building visit: +Якщо у вас є відгуки про продукт або помилки під час розробки, завітайте на: -[![Форум розробників 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) --- **Відмова від відповідальності**: -Цей документ було перекладено за допомогою сервісу перекладу на основі штучного інтелекту [Co-op Translator](https://github.com/Azure/co-op-translator). Хоча ми прагнемо до точності, зверніть увагу, що автоматичні переклади можуть містити помилки або неточності. Оригінальний документ рідною мовою слід вважати авторитетним джерелом. Для критично важливої інформації рекомендується звертатися до професійного людського перекладача. Ми не несемо відповідальності за будь-які непорозуміння або помилкові тлумачення, що виникли внаслідок використання цього перекладу. +Цей документ було перекладено за допомогою сервісу штучного інтелекту [Co-op Translator](https://github.com/Azure/co-op-translator). Хоча ми прагнемо до точності, просимо враховувати, що автоматичні переклади можуть містити помилки або неточності. Орігінальний документ мовою оригіналу слід вважати авторитетним джерелом. Для критично важливої інформації рекомендується професійний людський переклад. Ми не несемо відповідальності за будь-які непорозуміння чи неправильні тлумачення, що виникли внаслідок використання цього перекладу. \ No newline at end of file