From e9a42e785713869a4310257ce43faa140a41dd16 Mon Sep 17 00:00:00 2001 From: "localizeflow[bot]" Date: Mon, 5 Jan 2026 15:49:13 +0000 Subject: [PATCH] chore(i18n): sync translations with latest source changes (chunk 1/1, 6 files) --- translations/da/README.md | 237 +++++++++++++++++++----------------- translations/fi/README.md | 192 +++++++++++++++-------------- translations/nl/README.md | 196 ++++++++++++++++-------------- translations/no/README.md | 193 +++++++++++++++-------------- translations/sv/README.md | 227 +++++++++++++++++----------------- translations/th/README.md | 248 ++++++++++++++++++++------------------ 6 files changed, 679 insertions(+), 614 deletions(-) diff --git a/translations/da/README.md b/translations/da/README.md index 0df49d3f..1727f8be 100644 --- a/translations/da/README.md +++ b/translations/da/README.md @@ -1,222 +1,233 @@ -[![GitHub-licens](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![GitHub-bidragydere](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'er velkomne](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-overvågninger](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-stjerner](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) -# Kunstig intelligens for begyndere - Et kursusforløb +# Kunstig intelligens for begyndere - Et pensum -|![Sketchnote af @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.da.png)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.da.png)| |:---:| | AI For Beginners - _Sketchnote af [@girlie_mac](https://twitter.com/girlie_mac)_ | -Udforsk verdenen af **Kunstig intelligens** (AI) med vores 12-ugers, 24-lektioners kursusforløb! Det inkluderer praktiske lektioner, quizzer, og laboratorier. Pensumet er begyndervenligt og dækker værktøjer som TensorFlow og PyTorch, samt etik inden for AI +Udforsk verden af **kunstig intelligens** (AI) med vores 12-ugers, 24-lektions pensum! Det indeholder praktiske lektioner, quizzer og laboratorier. Pensum er begyndervenligt og dækker værktøjer som TensorFlow og PyTorch samt etik inden for AI. -### 🌐 Flersproget understøttelse -#### Understøttet via GitHub Action (Automatiseret og altid opdateret) +### 🌐 Understøttelse af flere sprog + +#### Understøttet via GitHub Action (Automatiseret & Altid Opdateret) -[Arabisk](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarsk](../bg/README.md) | [Burmesisk (Myanmar)](../my/README.md) | [Kinesisk (forenklet)](../zh/README.md) | [Kinesisk (traditionel, Hongkong)](../hk/README.md) | [Kinesisk (traditionel, Macau)](../mo/README.md) | [Kinesisk (traditionel, Taiwan)](../tw/README.md) | [Kroatisk](../hr/README.md) | [Tjekkisk](../cs/README.md) | [Dansk](./README.md) | [Hollandsk](../nl/README.md) | [Estisk](../et/README.md) | [Finsk](../fi/README.md) | [Fransk](../fr/README.md) | [Tysk](../de/README.md) | [Grekisk](../el/README.md) | [Hebraisk](../he/README.md) | [Hindi](../hi/README.md) | [Ungarsk](../hu/README.md) | [Indonesisk](../id/README.md) | [Italiensk](../it/README.md) | [Japansk](../ja/README.md) | [Kannada](../kn/README.md) | [Koreansk](../ko/README.md) | [Litauisk](../lt/README.md) | [Malayisk](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalesisk](../ne/README.md) | [Nigeriansk Pidgin](../pcm/README.md) | [Norsk](../no/README.md) | [Persisk (Farsi)](../fa/README.md) | [Polsk](../pl/README.md) | [Portugisisk (Brasilien)](../br/README.md) | [Portugisisk (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumænsk](../ro/README.md) | [Russisk](../ru/README.md) | [Serbisk (kyrillisk)](../sr/README.md) | [Slovakisk](../sk/README.md) | [Slovensk](../sl/README.md) | [Spansk](../es/README.md) | [Swahili](../sw/README.md) | [Svensk](../sv/README.md) | [Tagalog (filippinsk)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Tyrkisk](../tr/README.md) | [Ukrainsk](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesisk](../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](./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) + +> **Foretrækker du at klone lokalt?** + +> Dette repository inkluderer 50+ sprogoversættelser, hvilket væsentligt øger downloadstørrelsen. For at klone uden oversættelser, brug spars 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' +> ``` +> Dette giver dig alt, hvad du behøver for at gennemføre kurset med en meget hurtigere download. -**Hvis du ønsker at få yderligere oversættelser, er understøttede sprog oplistet [her](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Hvis du ønsker at få understøttet yderligere oversættelsessprog, findes disse [her](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** -## Bliv en del af fællesskabet +## Deltag i fællesskabet [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) ## Hvad du vil lære -**[Kursusets mindmap](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[Mindmap over kurset](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -I dette kursusforløb vil du lære: +I dette pensum vil du lære: -* Forskellige tilgange til kunstig intelligens, inklusive den "gode gamle" symbolske tilgang med **vidensrepræsentation** og ræsonnement ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* Forskellige tilgange til kunstig intelligens, inklusive den "gode gamle" symbolske tilgang med **vidensrepræsentation** og ræsonnering ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). * **Neurale netværk** og **dyb læring**, som er kernen i moderne AI. Vi vil illustrere koncepterne bag disse vigtige emner ved hjælp af kode i to af de mest populære frameworks - [TensorFlow](http://Tensorflow.org) og [PyTorch](http://pytorch.org). -* **Neurale arkitekturer** til arbejde med billeder og tekst. Vi vil dække nyere modeller, men kan være lidt mangelfulde i state-of-the-art. -* Mindre populære AI-tilgange, såsom **genetiske algoritmer** og **multi-agent-systemer**. +* **Neurale arkitekturer** til arbejde med billeder og tekst. Vi vil dække nyere modeller, men kan være lidt manglende i den nyeste state-of-the-art. +* Mindre populære AI-tilgange som **genetiske algoritmer** og **multi-agent systemer**. -Hvad vi ikke dækker i dette kursusforløb: +Hvad vi ikke vil dække i dette pensum: -> [Find alle yderligere ressourcer for dette kursus i vores Microsoft Learn-samling](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Find alle ekstra ressourcer til dette kursus i vores Microsoft Learn-samling](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Forretningscases ved brug af **AI i forretning**. Overvej at tage [Introduktion til AI for forretningsbrugere](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) læringsforløbet på Microsoft Learn, eller [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), udviklet i samarbejde med [INSEAD](https://www.insead.edu/). -* **Klassisk maskinlæring**, som er godt beskrevet i vores [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners). -* Praktiske AI-applikationer bygget ved hjælp af **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. For dette anbefaler vi, at du starter med Microsoft Learn-moduler for [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [naturlig sprogbehandling](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativ AI med Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** og andre. -* Specifikke ML **cloud-rammeværk**, såsom [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), eller [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Overvej at bruge læringsforløbene [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) og [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). -* **Samtale-AI** og **chatbots**. Der er et separat læringsforløb [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), og du kan også henvise til [denne blogpost](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for flere detaljer. -* **Dyb matematik** bag dyb læring. Til dette anbefaler vi bogen [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) af Ian Goodfellow, Yoshua Bengio og Aaron Courville, som også findes online på [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Forretningscases for brug af **AI i erhvervslivet**. Overvej at tage [Introduktion til AI for erhvervsbrugere](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) læringssti på Microsoft Learn, eller [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), udviklet i samarbejde med [INSEAD](https://www.insead.edu/). +* **Klassisk maskinlæring**, som er godt beskrevet i vores [Maskinlæring for begyndere-pensum](http://github.com/Microsoft/ML-for-Beginners). +* Praktiske AI-applikationer bygget ved hjælp af **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Til dette anbefaler vi, at du starter med moduler på Microsoft Learn for [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [naturlig sprogbehandling](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativ AI med Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** og andre. +* Specifikke ML **Cloud Frameworks**, såsom [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) eller [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Overvej at bruge læringsstierne [Udvikl og driftsæt maskinlæringsløsninger med Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) og [Udvikl og driftsæt maskinlæringsløsninger med Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Samtale-AI** og **Chatbots**. Der findes en separat [Skab samtale-AI-løsninger](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) læringssti, og du kan også henvise til [dette blogindlæg](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for flere detaljer. +* **Dyb matematik** bag dyb læring. Til dette anbefaler vi [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) af Ian Goodfellow, Yoshua Bengio og Aaron Courville, som også er tilgængelig online på [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -For en blid introduktion til emnerne _AI i skyen_ kan du overveje at tage læringsforløbet [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). +Til en blid introduktion til _AI i skyen_ kan du overveje at tage læringsstien [Kom i gang med kunstig intelligens på Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Indhold -| | Lektionslink | PyTorch/Keras/TensorFlow | Lab | +| | Lektion Link | PyTorch/Keras/TensorFlow | Lab | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 0 | [Kursusopsætning](./lessons/0-course-setup/setup.md) | [Opsæt dit udviklingsmiljø](./lessons/0-course-setup/how-to-run.md) | | | I | [**Introduktion til AI**](./lessons/1-Intro/README.md) | | | | 01 | [Introduktion og AI's historie](./lessons/1-Intro/README.md) | - | - | | II | **Symbolsk AI** | -| 02 | [Videnrepræsentation og ekspertsystemer](./lessons/2-Symbolic/README.md) | [Ekspertsystemer](./lessons/2-Symbolic/Animals.ipynb) / [Ontologi](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptgraf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| 02 | [Vidensrepræsentation og ekspertsystemer](./lessons/2-Symbolic/README.md) | [Ekspertsystemer](./lessons/2-Symbolic/Animals.ipynb) / [Ontologi](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptgraf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Introduktion til neurale netværk**](./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 | [Flerlaget perceptron og at skabe vores eget 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 | [Introduktion til frameworks (PyTorch/TensorFlow) og overtilpasning](./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 | [**Computersyn**](./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)| [Udforsk computersyn på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Introduktion til computersyn. 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 | [Konvolutionelle neurale netværk](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-arkitekturer](./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 | [Forudtrænede netværk og 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 | [Autoencodere og 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 & kunstnerisk stiloverførsel](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 04 | [Flerlaget Perceptron og Oprettelse af vores eget 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 | [Introduktion til Frameworks (PyTorch/TensorFlow) og 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 | [**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)| [Udforsk Computer Vision på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [Introduktion til Computer Vision. 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 Arkitekturer](./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 | [Fortrænede Netværk og Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) og [Træningstricks](./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 og 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 & Kunstnerisk Stil 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 | [Objektdetektion](./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 | [Semantisk segmentering. 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 | [**Naturlig sprogbehandling**](./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) | [Udforsk naturlig sprogbehandling på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Tekstrepræsentation. 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) | | +| 12 | [Semantisk Segmentering. 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 | [**Naturlig Sprogbehandling**](./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) | [Udforsk Naturlig Sprogbehandling på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [Tekstrepræsentation. 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 | [Semantiske ordindlejringer. Word2Vec og 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 | [Sprogemodellering. Træn dine egne indlejringer](./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 | [Rekurrente neurale netværk](./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 rekurrente netværk](./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) | +| 15 | [Sproglig Modellering. Træn dine egne indlejringer](./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 | [Rekurrente Neurale Netværk](./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 Rekurrente Netværk](./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 | [Genkendelse af navngivne enheder](./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 | [Store sprogmodeller, prompt-programmering og few-shot-opgaver](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **Andre AI-teknikker** || | -| 21 | [Genetiske algoritmer](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Dyb forstærkningslæring](./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-systemer](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **AI-etik** | | | -| 24 | [AI-etik og ansvarlig 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) | | +| 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 | [Store Sprogmodeller, Prompt Programmering og Few-Shot Opgaver](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **Andre AI-Technikker** || | +| 21 | [Genetiske Algoritmer](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [Dyb Forstærkningslæring](./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 Systemer](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| VII | **AI Etik** | | | +| 24 | [AI Etik og Ansvarlig AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principper for Ansvarlig AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Ekstra** | | | -| 25 | [Multi-modale netværk, CLIP og VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 25 | [Multi-Modale Netværk, CLIP og VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | -## Each lesson contains +## Hver lektion indeholder -* Forberedende læsemateriale -* Eksekverbare Jupyter-notebooks, som ofte er specifikke for rammeværket (**PyTorch** eller **TensorFlow**). Den eksekverbare notebook indeholder også meget teoretisk materiale, så for at forstå emnet skal du gennemgå mindst én version af notebook'en (enten PyTorch eller TensorFlow). -* **Labs** tilgængelige for nogle emner, som giver dig mulighed for at prøve at anvende det materiale, du har lært, på et specifikt problem. +* For-læsningsmateriale +* Eksekverbare Jupyter Notebooks, som ofte er specifikke for frameworket (**PyTorch** eller **TensorFlow**). Den eksekverbare notebook indeholder også meget teoretisk materiale, så for at forstå emnet skal du gennemgå mindst en version af notebook'en (enten PyTorch eller TensorFlow). +* **Labber** tilgængelige for nogle emner, som giver dig mulighed for at prøve at anvende det lærte på et specifikt problem. * Nogle sektioner indeholder links til [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moduler, der dækker relaterede emner. -## Getting Started +## Kom godt i gang -### 🎯 New to AI? Start Here! +### 🎯 Ny til AI? Start her! -If you're completely new to AI and want quick, hands-on examples, check out our [**Begynder-venlige eksempler**](./examples/README.md)! These include: +Hvis du er helt ny til AI og ønsker hurtige, praktiske eksempler, så tjek vores [**Begynder-venlige Eksempler**](./examples/README.md)! Disse inkluderer: -- 🌟 **Hello AI World** - Dit første AI-program (mønstergenkendelse) -- 🧠 **Simple Neural Network** - Byg et neuralt netværk fra bunden -- 🖼️ **Image Classifier** - Klassificer billeder med detaljerede kommentarer -- 💬 **Tekst-sentiment** - Analyser positiv/negativ tekst +- 🌟 **Hello AI World** - Dit første AI-program (mønster-genkendelse) +- 🧠 **Simpelt Neuralt Netværk** - Byg et neuralt netværk fra bunden +- 🖼️ **Billedklassificering** - Klassificer billeder med detaljerede kommentarer +- 💬 **Tekstfølelse** - Analyser positiv/negativ tekst -Disse eksempler er designet til at hjælpe dig med at forstå AI-koncepter, før du dykker ned i det fulde kursusforløb. +Disse eksempler er designet til at hjælpe dig med at forstå AI-koncepter, før du dykker ned i det fulde pensum. -### 📚 Fuldt kursusopsætning +### 📚 Opsætning af fuldt pensum -- Vi har lavet en [opsætningslektion](./lessons/0-course-setup/setup.md) for at hjælpe dig med at opsætte dit udviklingsmiljø. - For undervisere, har vi også lavet en [pensumopsætningslektion](./lessons/0-course-setup/for-teachers.md) til jer! -- Hvordan du [kører koden i VSCode eller i en Codepace](./lessons/0-course-setup/how-to-run.md) +- Vi har lavet en [opsætningslektion](./lessons/0-course-setup/setup.md) for at hjælpe dig med at sætte dit udviklingsmiljø op. - For undervisere har vi også lavet en [pensumopsætningslektion](./lessons/0-course-setup/for-teachers.md)! +- Sådan [kører du koden i VSCode eller en Codepace](./lessons/0-course-setup/how-to-run.md) Følg disse trin: -Fork repositoryet: Klik på knappen "Fork" øverst til højre på denne side. +Fork depotet: Klik på "Fork" knappen øverst til højre på denne side. -Klon repositoryet: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Klon depotet: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Glem ikke at give dette repo en stjerne (🌟), så du nemmere kan finde det senere. +Glem ikke at give denne repo en stjerne (🌟) for nemmere at finde den senere. -## Mød andre kursister +## Mød andre elever -Deltag i vores [officielle AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) for at møde og netværke med andre kursister på dette kursus og få support. +Deltag i vores [officielle AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) for at møde og netværke med andre, der tager dette kursus, samt få support. -Hvis du har produktfeedback eller spørgsmål, mens du bygger, besøg vores [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +Hvis du har produktfeedback eller spørgsmål under udviklingen, besøg vores [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) -## Quizzer +## Quizzer -> **Et notat om quizzer**: Alle quizzer er indeholdt i Quiz-app folderen i etc\quiz-app, eller [Online her](https://ff-quizzes.netlify.app/) De er linket fra lektionerne; quiz-appen kan køres lokalt eller implementeres til Azure; følg instruktionen i `quiz-app` folderen. De bliver gradvist lokaliseret. +> **En note om quizzer**: Alle quizzer findes i Quiz-app mappen i etc\quiz-app, eller [Online Her](https://ff-quizzes.netlify.app/) De er linket fra lektionerne, quiz-app'en kan køres lokalt eller implementeres til Azure; følg instruktionerne i `quiz-app` mappen. De bliver gradvist oversat. ## Hjælp ønskes -Har du forslag eller har du fundet stave- eller kodefejl? Opret en issue eller opret et pull request. +Har du forslag eller fundet stave- eller kodefejl? Opret en issue eller lav en pull request. -## Særlig tak +## Speciel tak * **✍️ Primær forfatter:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Redaktør:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Sketchnote-illustrator:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ Quizskaber:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🎨 Sketchnote illustrator:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ Quiz skaber:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) * **🙏 Kernebidragydere:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Andre kursusforløb +## Andre pensum -Vores team udgiver andre kursusforløb! Se: +Vores team producerer andre pensum! Tjek: ### LangChain -[![LangChain4j for begyndere](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 begyndere](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 / Agenter -[![AZD for begyndere](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 begyndere](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 begyndere](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-agenter for begyndere](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) --- -### Generativ AI-serie -[![Generativ AI for begyndere](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) -[![Generativ 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) -[![Generativ 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) -[![Generativ 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) +### Generativ AI Serie +[![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) --- -### Kernekurser -[![ML for begyndere](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 begyndere](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 begyndere](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) -[![Cybersikkerhed for begyndere](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) -[![Webudvikling for begyndere](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 begyndere](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-udvikling for begyndere](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) +### Kerne-læring +[![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-serien -[![Copilot til AI-parprogrammering](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 til 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 Serie +[![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) ## Få hjælp -Hvis du sidder fast eller har spørgsmål om at bygge AI-apps, så deltag i diskussioner med andre kursister og erfarne udviklere om MCP. Det er et støttende fællesskab, hvor spørgsmål er velkomne og viden deles frit. +Hvis du sidder fast eller har spørgsmål om at bygge AI-apps. Deltag i diskussioner om MCP med andre elever og erfarne udviklere. Det er et støttende fællesskab, hvor spørgsmål er velkomne, og viden deles frit. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Hvis du har produktfeedback eller oplever fejl under udviklingen, besøg: +Hvis du har produktfeedback eller fejl under udviklingen, besøg: -[![Microsoft Foundry udviklerforum](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) --- -Ansvarsfraskrivelse: -Dette dokument er oversat ved hjælp af AI-oversættelsestjenesten Co-op Translator (https://github.com/Azure/co-op-translator). Selvom vi bestræber os på nøjagtighed, bedes du være opmærksom på, at automatiske oversættelser kan indeholde fejl eller unøjagtigheder. Det originale dokument på originalsproget bør betragtes som den autoritative kilde. For væsentlige oplysninger anbefales professionel menneskelig oversættelse. Vi påtager os intet ansvar for misforståelser eller fejltolkninger, der måtte opstå ved brug af denne oversættelse. +**Ansvarsfraskrivelse**: +Dette dokument er blevet oversat ved hjælp af AI-oversættelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selvom vi bestræber os på nøjagtighed, skal du være opmærksom på, at automatiserede oversættelser kan indeholde fejl eller unøjagtigheder. Det oprindelige dokument på dets modersmål bør betragtes som den autoritative kilde. For kritiske oplysninger anbefales professionel menneskelig oversættelse. Vi påtager os intet ansvar for eventuelle misforståelser eller fejltolkninger, der opstår som følge af brugen af denne oversættelse. \ No newline at end of file diff --git a/translations/fi/README.md b/translations/fi/README.md index 0d67ae0c..fa2f6d31 100644 --- a/translations/fi/README.md +++ b/translations/fi/README.md @@ -1,8 +1,8 @@ -[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](./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) +[arabia](../ar/README.md) | [bengali](../bn/README.md) | [bulgaria](../bg/README.md) | [burma (Myanmar)](../my/README.md) | [kiina (yksinkertaistettu)](../zh/README.md) | [kiina (perinteinen, Hong Kong)](../hk/README.md) | [kiina (perinteinen, Macao)](../mo/README.md) | [kiina (perinteinen, Taiwan)](../tw/README.md) | [kroatia](../hr/README.md) | [tšekki](../cs/README.md) | [tanska](../da/README.md) | [hollanti](../nl/README.md) | [viro](../et/README.md) | [suomi](./README.md) | [ranska](../fr/README.md) | [saksa](../de/README.md) | [kreikka](../el/README.md) | [heprea](../he/README.md) | [hindi](../hi/README.md) | [unkari](../hu/README.md) | [indonesia](../id/README.md) | [italia](../it/README.md) | [japani](../ja/README.md) | [kannada](../kn/README.md) | [korea](../ko/README.md) | [liettua](../lt/README.md) | [malaiji](../ms/README.md) | [malayalam](../ml/README.md) | [marathi](../mr/README.md) | [nepali](../ne/README.md) | [nigerian pidgin](../pcm/README.md) | [norja](../no/README.md) | [persia (farsi)](../fa/README.md) | [puola](../pl/README.md) | [portugali (Brasil)](../br/README.md) | [portugali (Portugali)](../pt/README.md) | [pandžabi (Gurmukhi)](../pa/README.md) | [romania](../ro/README.md) | [venäjä](../ru/README.md) | [serbia (kyrillinen)](../sr/README.md) | [slovakki](../sk/README.md) | [sloveeni](../sl/README.md) | [espanja](../es/README.md) | [swahili](../sw/README.md) | [ruotsi](../sv/README.md) | [tagalog (filipino)](../tl/README.md) | [tamili](../ta/README.md) | [telugu](../te/README.md) | [thai](../th/README.md) | [turkki](../tr/README.md) | [ukraina](../uk/README.md) | [urdu](../ur/README.md) | [vietnam](../vi/README.md) + +> **Haluatko mieluummin kloonata paikallisesti?** + +> Tämä arkisto sisältää yli 50 käännöskieltä, mikä kasvattaa merkittävästi latauskokoa. Lataaksesi ilman käännöksiä, käytä sparse checkout -menetelmää: +> ```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' +> ``` +> Tämä antaa sinulle kaiken tarvittavan kurssin suorittamiseen paljon nopeammalla latauksella. -**Jos haluat lisätä käännöksiä, tuetut kielet on lueteltu [tässä](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Jos haluat lisäkieliä käännöksiksi, tuetut kielet löytyvät [tästä](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Liity yhteisöön [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) ## Mitä opit -**[Kurssin miellekartta](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[Kurssin mielenkartta](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** Tässä opetussuunnitelmassa opit: -* Eri lähestymistapoja tekoälyyn, mukaan lukien "hyvin vanha" symbolinen lähestymistapa **tietämyksen esityksen** ja päättelyn kanssa ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Neuroverkot** ja **syväoppiminen**, jotka ovat modernin tekoälyn ytimessä. Havainnollistamme näitä tärkeitä aiheita koodilla kahdessa suosituimmista kehyksistä - [TensorFlow](http://Tensorflow.org) ja [PyTorch](http://pytorch.org). -* **Neuraaliset arkkitehtuurit** kuvien ja tekstin käsittelyyn. Käymme läpi viimeaikaisia malleja, vaikka emme aina pysy täysin huippuluokan kehityksessä mukana. -* Vähemmän tunnettuja tekoälyn lähestymistapoja, kuten **geneettiset algoritmit** ja **moniagenttijärjestelmät**. +* Eri lähestymistapoja tekoälyyn, mukaan lukien "hyvä vanha" symbolinen lähestymistapa, jossa käsitellään **tiedon esitystä** ja päättelyä ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Neuroverkot** ja **syväoppiminen**, jotka ovat modernin tekoälyn ytimessä. Havainnollistamme näitä tärkeitä aiheita koodin avulla kahdessa suositussa kehyksessä - [TensorFlow](http://Tensorflow.org) ja [PyTorch](http://pytorch.org). +* **Neuroarkkitehtuurit** kuvien ja tekstin käsittelyyn. Käymme läpi viimeisimpiä malleja, vaikkakin osittain hieman jäljessä alan huipputasosta. +* Vähemmän tunnettuja tekoälyn lähestymistapoja, kuten **geneettisiä algoritmeja** ja **moniagenttijärjestelmiä**. -Mitä emme käsittele tässä opetussuunnitelmassa: +Mitään ei käsitellä tässä opetussuunnitelmassa: -> [Löydät kaikki lisäresurssit tälle kurssille Microsoft Learn -kokoelmastamme](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Löydä kaikki kurssin lisäresurssit Microsoft Learn -kokoelmastamme](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Liiketoimintatapauksia **tekoälyn käytöstä liiketoiminnassa**. Harkitse [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) -oppipolun suorittamista Microsoft Learnissa tai [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), joka on kehitetty yhteistyössä [INSEADin](https://www.insead.edu/) kanssa. -* **Perinteinen koneoppiminen**, joka on hyvin kuvattu meidän [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) -materiaalissa. -* Käytännön tekoälyratkaisut, jotka on rakennettu käyttäen **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** -palveluita. Tätä varten suosittelemme aloittamaan Microsoft Learn -moduuleista [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)** ja muut. -* Tietyt ML **pilvikehykset**, kuten [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) tai [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Harkitse [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) ja [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) -oppipolkuja. -* **Keskustelutoimintaa tukeva tekoäly** ja **chatbotit**. Tälle on oma [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) -oppipolkunsa, ja voit myös tutustua [tähän blogikirjoitukseen](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) saadaksesi lisätietoja. -* **Syvällinen matematiikka** syväoppimisen taustalla. Tätä varten suosittelemme teosta [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) kirjoittajilta Ian Goodfellow, Yoshua Bengio ja Aaron Courville, joka on myös saatavilla verkossa osoitteessa [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Liiketoimintatapauksia **tekoälyn käytöstä liiketoiminnassa**. Voit harkita [Tekoälyn perusteet liiketoimintakäyttäjille](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) -oppipolkua Microsoft Learnissa tai [AI Business Schoolia](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), joka on kehitetty yhteistyössä [INSEADin](https://www.insead.edu/) kanssa. +* **Perinteistä koneoppimista**, jota on hyvin kuvattu meidän [Koneoppimisen perusteet -opinnoissamme](http://github.com/Microsoft/ML-for-Beginners). +* Käytännön tekoälysovelluksia, jotka on rakennettu käyttäen **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** -palveluita. Tässä suosittelemme aloittamaan Microsoft Learnin visio-, luonnollisen kielen käsittely- ja **[Generatiivisen tekoälyn Azure OpenAI -palvelulla](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** -moduuleilla. +* Erityisiä ML **pilvikehyksiä**, kuten [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) tai [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Harkitse käyttäväsi [Rakenna ja operoi koneoppimisratkaisuja Azure Machine Learningillä](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ja [Rakenna ja operoi koneoppimisratkaisuja Azure Databricksillä](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) oppipolkuja. +* **Keskustelupohjainen tekoäly** ja **chatbotit**. On olemassa erillinen [Luo keskustelupohjaisia tekoälyratkaisuja](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) -oppipolku ja voit myös katsoa [tämän blogikirjoituksen](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) lisätietoja varten. +* **Syvempi matematiikka** syväoppimisen takana. Tässä suosittelemme [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) -kirjaa, jonka ovat kirjoittaneet Ian Goodfellow, Yoshua Bengio ja Aaron Courville ja joka on myös saatavilla verkossa osoitteessa [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Kevyempään johdatukseen _tekoälystä pilvessä_ liittyvissä aiheissa voit suorittaa [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) -oppipolun. +Kepeään johdantoon _tekoäly pilvessä_ -aiheisiin kannattaa tutustua [Aloita tekoäly Azurella](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) -oppipolulla. # Sisältö -| | Lesson Link | PyTorch/Keras/TensorFlow | Lab | +| | Oppitunnin linkki | PyTorch/Keras/TensorFlow | Laboratorio | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 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 | **Symbolic 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 | [**Introduction to Neural Networks**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Muistikirja](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Harjoitus](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Monikerroksinen Perceptron ja oman kehyskirjaston luominen](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Muistikirja](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Harjoitus](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Johdatus kehyksiin (PyTorch/TensorFlow) ja ylisovittaminen](./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) | [Harjoitus](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Konenäkö**](./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)| [Tutustu konenäköön Microsoft Azurella](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Johdatus konenäköön. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Muistikirja](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Harjoitus](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Konvoluutioverkot](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-arkkitehtuurit](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Harjoitus](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Esikoulutetut verkot ja siirto-oppiminen](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Koulutusvinkit](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Harjoitus](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 0 | [Kurssin asetukset](./lessons/0-course-setup/setup.md) | [Kokoa kehitysympäristösi](./lessons/0-course-setup/how-to-run.md) | | +| I | [**Johdanto tekoälyyn**](./lessons/1-Intro/README.md) | | | +| 01 | [Johdanto ja tekoälyn historia](./lessons/1-Intro/README.md) | - | - | +| II | **Symbolinen tekoäly** | +| 02 | [Tiedon esitys ja asiantuntijajärjestelmät](./lessons/2-Symbolic/README.md) | [Asiantuntijajärjestelmät](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Käsitemalli](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**Johdanto neuroverkkoihin**](./lessons/3-NeuralNetworks/README.md) ||| +| 03 | [Perceptroni](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Muistikirja](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Harjoitus](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [Monikerroksinen perceptroni ja oman kehysympäristön luominen](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Muistikirja](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Harjoitus](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Johdanto kehyksiin (PyTorch/TensorFlow) ja ylisovittaminen](./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) | [Harjoitus](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Koneellinen näkö**](./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)| [Tutustu koneelliseen näkökenttään Microsoft Azurella](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [Johdanto koneelliseen näkökenttään. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Muistikirja](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Harjoitus](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [Konvoluutiohermoverkot](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-arkkitehtuurit](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Harjoitus](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Esikoulutetut verkot ja siirto-oppiminen](./lessons/4-ComputerVision/08-TransferLearning/README.md) ja [Koulutusvinkkejä](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Harjoitus](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Autokooderit ja VAE:t](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Generatiiviset vastustajaverkot ja tyylinsiirto](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 10 | [Generatiiviset vastustukselliset verkot & taiteellinen tyylinsiirto](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Kohteiden tunnistus](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Harjoitus](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Semanttinen segmentointi. 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 | [**Luonnollisen kielen käsittely**](./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) | [Tutustu luonnollisen kielen käsittelyyn Microsoft Azurella](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Tekstin esitys. 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 | [Semanttiset sanaupotukset. Word2Vec ja 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 | [Kielimallinnus. Omien upotusten kouluttaminen](./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) | [Harjoitus](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [Toistuvat neuroverkot](./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 | [Generatiiviset toistuvat verkot](./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) | [Harjoitus](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | -| 18 | [Transformerit. 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 | [Nimitettyjen entiteettien tunnistus](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Harjoitus](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Suuret kielimallit, kehotteiden ohjelmointi ja muutaman esimerkin tehtävät](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| 13 | [Tekstin esitys. Kukka-/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 | [Semanttiset sanan mobiilit. Word2Vec ja 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 | [Kielimallinnus. Oman upotuksen kouluttaminen](./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) | [Harjoitus](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [Takautuvat hermoverkot](./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 | [Generatiiviset takautuvat verkot](./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) | [Harjoitus](./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 | [Nimettyjen entiteettien tunnistus](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Harjoitus](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Suurten kielimallien, kehotusohjelmoinnin ja vähän tehtäviä](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Muut tekoälytekniikat** || | | 21 | [Geneettiset algoritmit](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Muistikirja](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | | 22 | [Syvä vahvistusoppiminen](./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) | [Harjoitus](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [Moniagenttijärjestelmät](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| 23 | [Moni-agenttijärjestelmät](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **Tekoälyn etiikka** | | | | 24 | [Tekoälyn etiikka ja vastuullinen tekoäly](./lessons/7-Ethics/README.md) | [Microsoft Learn: Vastuullisen tekoälyn periaatteet](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | **Lisät** | | | +| IX | **Lisää** | | | | 25 | [Monimodaaliset verkot, CLIP ja VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Muistikirja](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Jokainen oppitunti sisältää * Esilukemateriaalia -* Suoritettavia Jupyter-muistikirjoja, jotka ovat usein kehykseen sidottuja (**PyTorch** tai **TensorFlow**). Suoritettava muistikirja sisältää myös paljon teoreettista materiaalia, joten aiheen ymmärtämiseksi sinun kannattaa käydä läpi vähintään yksi versio muistikirjasta ( joko PyTorch tai TensorFlow ). -* **Harjoituksia** joidenkin aiheiden kohdalla, jotka antavat mahdollisuuden soveltaa oppimaasi tietoa tiettyyn ongelmaan. -* Joissain osioissa on linkkejä [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -moduuleihin, jotka käsittelevät aiheeseen liittyvää sisältöä. +* Suoritettavia Jupyter-muistikirjoja, jotka ovat usein kehykselle (**PyTorch** tai **TensorFlow**) spesifisiä. Suoritettava muistikirja sisältää myös paljon teoreettista materiaalia, joten aiheen ymmärtämiseksi tarvitsee käydä läpi ainakin yksi muistikirjan versio (joko PyTorch tai TensorFlow). +* Joihinkin aiheisiin saatavilla olevia **harjoituksia**, jotka antavat sinulle mahdollisuuden kokeilla oppimasi materiaalin soveltamista konkreettiseen ongelmaan. +* Joissakin osissa linkkejä [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moduuleihin, jotka käsittelevät aiheeseen liittyviä aiheita. ## Aloittaminen -### 🎯 Uusi tekoälyn parissa? Aloita tästä! +### 🎯 Uusi tekoälyssä? Aloita tästä! -Jos olet täysin uusi tekoälyn parissa ja haluat nopeita, käytännönläheisiä esimerkkejä, tutustu [**Aloittelijaystävällisiin esimerkkeihin**](./examples/README.md)! Näihin sisältyy: +Jos olet täysin uusi tekoälyssä ja haluat nopeita, käytännön esimerkkejä, tutustu [**aloittelijaystävällisiin esimerkkeihimme**](./examples/README.md)! Niihin kuuluvat: -- 🌟 **Hello AI World** - Ensimmäinen tekoälyohjelmasi (kuvioiden tunnistus) -- 🧠 **Yksinkertainen neuroverkko** - Rakenna neuroverkko alusta alkaen -- 🖼️ **Kuvien luokittelija** - Luokittele kuvia yksityiskohtaisin kommentein -- 💬 **Tekstin sentimentti** - Analysoi positiivista/negatiivista tekstiä +- 🌟 **Hei tekoäly maailma** - Ensimmäinen tekoälyohjelmasi (kuvion tunnistus) +- 🧠 **Yksinkertainen hermoverkko** - Rakenna hermoverkko alusta alkaen +- 🖼️ **Kuvien luokittelija** - Luokittele kuvia yksityiskohtaisilla kommenteilla +- 💬 **Tekstin tunnelma** - Analysoi positiivista/kai­tavaa tekstiä -Nämä esimerkit on suunniteltu auttamaan sinua ymmärtämään tekoälykäsitteitä ennen kuin sukellat koko opetussuunnitelmaan. +Nämä esimerkit on suunniteltu auttamaan sinua ymmärtämään tekoälyn käsitteitä ennen kuin sukellat koko oppiaineistoon. -### 📚 Koko opetussuunnitelman käyttöönotto +### 📚 Koko oppiaineiston asennus -- Olemme luoneet [asennusoppitunnin](./lessons/0-course-setup/setup.md) auttamaan kehitysympäristösi käyttöönotossa. - Opettajille olemme luoneet myös [opetussuunnitelman asennusoppitunnin](./lessons/0-course-setup/for-teachers.md)! -- Kuinka [suorittaa koodi VSCode:ssa tai Codepace:ssa](./lessons/0-course-setup/how-to-run.md) +- Olemme luoneet [asennustunnin](./lessons/0-course-setup/setup.md) auttamaan sinua kehitysympäristön asennuksessa. - Opettajille olemme myös luoneet [oppiaineiston asennustunnin](./lessons/0-course-setup/for-teachers.md)! +- Kuinka [ajaa koodi VSCode- tai Codepace-ympäristössä](./lessons/0-course-setup/how-to-run.md) Seuraa näitä vaiheita: -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +Tee varastosta haarukka: Klikkaa "Fork"-painiketta tämän sivun yläoikeassa kulmassa. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Kloonaa varasto: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +Älä unohda tähdätä (🌟) tätä varastoa, jotta löydät sen helpommin myöhemmin. -## Tutustu muihin oppijoihin +## Tapaa muut oppijat -Liity [viralliselle AI Discord -palvelimellemme](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) tapaamaan ja verkostoitumaan muiden tämän kurssin kävijöiden kanssa sekä saadaksesi tukea. +Liity [viralliselle AI Discord -palvelimellemme](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) tavata ja verkostoitua muiden tämän kurssin kävijöiden kanssa sekä saada tukea. -Jos sinulla on tuotepalautetta tai kysymyksiä rakentamisen aikana, käy [Azure AI Foundry -kehittäjäfoorumillamme](https://aka.ms/foundry/forum) +Jos sinulla on palautetta tuotteesta tai kysymyksiä rakentamisen aikana, käy [Azure AI Foundry Developer Forumilla](https://aka.ms/foundry/forum) -## Quizzit +## Kyselyt -> **Huomautus tietovisoista**: Kaikki tietovisat ovat Quiz-app-kansiossa polussa etc\quiz-app, tai [verkkossa täällä](https://ff-quizzes.netlify.app/) Ne on linkitetty oppituntien sisällä; quiz-sovellusta voi ajaa paikallisesti tai ottaa käyttöön Azureen; seuraa ohjeita `quiz-app`-kansiossa. Ne ovat asteittain lokalisoitumassa. +> **Huomautus kyselyistä**: Kaikki kyselyt ovat Quiz-app-kansiossa polussa etc\quiz-app, tai [verkkoversio täällä](https://ff-quizzes.netlify.app/). Ne on linkitetty oppitunneilta, kyselysovellus voidaan ajaa paikallisesti tai ottaa käyttöön Azureen; seuraa ohjeita `quiz-app`-kansiossa. Ne ovat asteittain lokalisoituna. -## Apua kaivataan +## Apu tarvitaan -Onko sinulla ehdotuksia tai löysitkö kirjoitus- tai koodivirheitä? Avaa issue tai tee pull request. +Onko sinulla ehdotuksia tai oletko löytänyt kirjoitusvirheitä tai koodivirheitä? Luo issue tai tee vetopyyntö. ## Erityiskiitokset -* **✍️ Pääkirjoittaja:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 Toimittaja:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Sketchnote-kuvittaja:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ Tietovisan tekijä:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Keskeiset avustajat:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **✍️ Pääkirjoittaja:** [Dmitry Soshnikov](http://soshnikov.com), tohtori +* **🔥 Toimittaja:** [Jen Looper](https://twitter.com/jenlooper), tohtori +* **🎨 Muistipiirroskuvittaja:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ Kyselyjen tekijä:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 Keskeiset kontribuuttorit:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Muut opetussuunnitelmat +## Muut oppiaineistot -Tiimimme tuottaa myös muita opetussuunnitelmia! Tutustu: +Tiimimme tuottaa myös muita oppiaineistoja! Tutustu niihin: ### LangChain @@ -171,15 +181,15 @@ Tiimimme tuottaa myös muita opetussuunnitelmia! Tutustu: --- -### Azure / Edge / MCP / Agents +### Azure / Edge / MCP / Agentit [![AZD aloittelijoille](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 aloittelijoille](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 aloittelijoille](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-agentit aloittelijoille](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI Agentit aloittelijoille](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) --- -### Generatiivinen tekoäly -sarja +### Generatiivisen tekoälyn sarja [![Generatiivinen tekoäly aloittelijoille](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) [![Generatiivinen tekoäly (.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) [![Generatiivinen tekoäly (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) @@ -187,10 +197,10 @@ Tiimimme tuottaa myös muita opetussuunnitelmia! Tutustu: --- -### Perusopetus -[![Koneoppiminen aloittelijoille](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) -[![Datatiede aloittelijoille](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) -[![Tekoäly aloittelijoille](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) +### Perusoppiminen +[![ML aloittelijoille](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 aloittelijoille](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 aloittelijoille](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) [![Kyberturvallisuus aloittelijoille](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-kehitys aloittelijoille](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 aloittelijoille](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) @@ -199,24 +209,24 @@ Tiimimme tuottaa myös muita opetussuunnitelmia! Tutustu: --- ### Copilot-sarja -[![Copilot AI-pariohjelmointiin](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 -kehittäjille](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 tekoälyn pariohjelmointiin](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:lle](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-seikkailu](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) -## Hanki apua +## Apua saatavilla -Jos jäät jumiin tai sinulla on kysyttävää tekoälysovellusten rakentamisesta, liity muiden oppijoiden ja kokeneiden kehittäjien keskusteluihin MCP:stä. Se on kannustava yhteisö, jossa kysymyksiä voi esittää ja tietoa jaetaan vapaasti. +Jos jumitut tai sinulla on kysyttävää tekoälysovellusten rakentamisesta. Liity muiden oppijoiden ja kokeneiden kehittäjien keskusteluihin MCP:stä. Se on tukevainen yhteisö, jossa kysymykset ovat tervetulleita ja tieto jaetaan vapaasti. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Jos sinulla on tuotepalautetta tai rakennuksen aikana ilmenee virheitä, käy: +Jos sinulla on palautetta tuotteesta tai virheitä rakentamisen aikana, käy: -[![Microsoft Foundry -kehittäjäfoorumi](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) --- -Vastuuvapauslauseke: -Tämä asiakirja on käännetty tekoälypohjaisella käännöspalvelulla Co-op Translator (https://github.com/Azure/co-op-translator). Vaikka pyrimme tarkkuuteen, huomioithan, että automatisoidut käännökset voivat sisältää virheitä tai epätarkkuuksia. Alkuperäistä asiakirjaa sen alkuperäisellä kielellä tulee pitää ensisijaisena lähteenä. Tärkeissä tai kriittisissä asioissa suositellaan ammattimaisen ihmiskääntäjän käyttöä. Emme ole vastuussa mahdollisista väärinymmärryksistä tai virhetulkinnoista, jotka johtuvat tämän käännöksen käytöstä. +**Vastuuvapauslauseke**: +Tämä asiakirja on käännetty käyttämällä tekoälypohjaista käännöspalvelua [Co-op Translator](https://github.com/Azure/co-op-translator). Vaikka pyrimme tarkkuuteen, huomioithan, että automaattiset käännökset saattavat sisältää virheitä tai epätarkkuuksia. Alkuperäinen asiakirja sen alkuperäiskielellä on virallinen lähde. Tärkeissä tiedoissa suositellaan ammattimaista ihmiskäännöstä. Emme ole vastuussa tämän käännöksen käytöstä johtuvista väärinymmärryksistä tai virhetulkinnoista. \ No newline at end of file diff --git a/translations/nl/README.md b/translations/nl/README.md index bd42ee73..e00b3e28 100644 --- a/translations/nl/README.md +++ b/translations/nl/README.md @@ -1,21 +1,21 @@ -[![GitHub-licentie](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![GitHub-bijdragers](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-verzoeken](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PR's welkom](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-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-sterren](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) @@ -25,21 +25,31 @@ CO_OP_TRANSLATOR_METADATA: |![Sketchnote door @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.nl.png)| |:---:| -| AI voor Beginners - _Sketchnote door [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI Voor Beginners - _Sketchnote door [@girlie_mac](https://twitter.com/girlie_mac)_ | -Verken de wereld van **Kunstmatige Intelligentie** (AI) met ons 12-weekse, 24-les curriculum! Het bevat praktische lessen, quizzen en labs. Het curriculum is geschikt voor beginners en behandelt tools zoals TensorFlow en PyTorch, evenals ethiek in AI +Ontdek de wereld van **Kunstmatige Intelligentie** (AI) met ons 12-weken, 24-lessen curriculum! Het bevat praktische lessen, quizzen en labs. Het curriculum is beginnersvriendelijk en behandelt tools zoals TensorFlow en PyTorch, evenals ethiek in AI -### 🌐 Meertalige ondersteuning +### 🌐 Meertalige Ondersteuning -#### Ondersteund via GitHub Action (Geautomatiseerd & Altijd actueel) +#### Ondersteund via GitHub Action (Geautomatiseerd & Altijd Up-to-Date) -[Arabisch](../ar/README.md) | [Bengaals](../bn/README.md) | [Bulgaars](../bg/README.md) | [Birmaans (Myanmar)](../my/README.md) | [Chinees (vereenvoudigd)](../zh/README.md) | [Chinees (traditioneel, Hongkong)](../hk/README.md) | [Chinees (traditioneel, Macau)](../mo/README.md) | [Chinees (traditioneel, Taiwan)](../tw/README.md) | [Kroatisch](../hr/README.md) | [Tsjechisch](../cs/README.md) | [Deens](../da/README.md) | [Nederlands](./README.md) | [Ests](../et/README.md) | [Fins](../fi/README.md) | [Frans](../fr/README.md) | [Duits](../de/README.md) | [Grieks](../el/README.md) | [Hebreeuws](../he/README.md) | [Hindi](../hi/README.md) | [Hongaars](../hu/README.md) | [Indonesisch](../id/README.md) | [Italiaans](../it/README.md) | [Japans](../ja/README.md) | [Kannada](../kn/README.md) | [Koreaans](../ko/README.md) | [Litouws](../lt/README.md) | [Maleis](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalees](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Noors](../no/README.md) | [Perzisch (Farsi)](../fa/README.md) | [Pools](../pl/README.md) | [Portugees (Brazilië)](../br/README.md) | [Portugees (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Roemeens](../ro/README.md) | [Russisch](../ru/README.md) | [Servisch (Cyrillisch)](../sr/README.md) | [Slowaaks](../sk/README.md) | [Sloveens](../sl/README.md) | [Spaans](../es/README.md) | [Swahili](../sw/README.md) | [Zweeds](../sv/README.md) | [Tagalog (Filipijns)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thais](../th/README.md) | [Turks](../tr/README.md) | [Oekraïens](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamees](../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](./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) + +> **Liever lokaal klonen?** + +> Deze repository bevat meer dan 50 taalvertalingen, wat de downloadgrootte aanzienlijk vergroot. Om zonder vertalingen te klonen, gebruik 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' +> ``` +> Dit geeft je alles wat je nodig hebt om de cursus te voltooien met een veel snellere download. -**Als u extra vertalingen wenst, staan de ondersteunde talen [hier](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) vermeld** +**Als je aanvullende vertalingen wenst, zijn ondersteunde talen hier vermeld [hier](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** -## Doe mee met de community +## Word lid van de community [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) ## Wat je zult leren @@ -48,121 +58,121 @@ Verken de wereld van **Kunstmatige Intelligentie** (AI) met ons 12-weekse, 24-le In dit curriculum leer je: -* Verschillende benaderingen van Kunstmatige Intelligentie, waaronder de "goede oude" symbolische benadering met **Kennisrepresentatie** en redeneren ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Neurale netwerken** en **Deep Learning**, die de kern vormen van moderne AI. We illustreren de achterliggende concepten van deze belangrijke onderwerpen met code in twee van de populairste frameworks - [TensorFlow](http://Tensorflow.org) en [PyTorch](http://pytorch.org). -* **Neurale architecturen** voor het werken met afbeeldingen en tekst. We behandelen recente modellen, maar kunnen iets achterlopen op de allernieuwste ontwikkelingen. -* Minder populaire AI-benaderingen, zoals **Genetische algoritmen** en **Multi-agent systemen**. +* Verschillende benaderingen van Kunstmatige Intelligentie, inclusief de "goede oude" symbolische benadering met **Kennisrepresentatie** en redeneren ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Neurale Netwerken** en **Deep Learning**, die de kern vormen van moderne AI. We zullen de concepten achter deze belangrijke onderwerpen illustreren met code in twee van de populairste frameworks - [TensorFlow](http://Tensorflow.org) en [PyTorch](http://pytorch.org). +* **Neuronale Architecturen** voor het werken met beelden en tekst. We behandelen recente modellen maar kunnen iets minder up-to-date zijn met de nieuwste ontwikkelingen. +* Minder populaire AI-benaderingen, zoals **Genetische Algoritmen** en **Multi-Agentensystemen**. Wat we niet behandelen in dit curriculum: -> [Vind alle aanvullende bronnen voor deze cursus in onze Microsoft Learn-collectie](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Vind alle extra bronnen voor deze cursus in onze Microsoft Learn-collectie](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Zakelijke toepassingen van **AI in het bedrijfsleven**. Overweeg het volgen van het leerpad [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) op Microsoft Learn, of [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), ontwikkeld in samenwerking met [INSEAD](https://www.insead.edu/). -* **Klassieke Machine Learning**, dat goed beschreven wordt in ons [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners). -* Praktische AI-toepassingen gebouwd met **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Hiervoor raden we aan te beginnen met Microsoft Learn-modules voor [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)** en anderen. -* Specifieke ML **cloudframeworks**, zoals [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), of [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Overweeg de leerpaden [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) en [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). -* **Conversationele AI** en **chatbots**. Er is een apart leerpad [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), en je kunt ook naar [dit blogbericht](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) verwijzen voor meer details. -* **Diepe wiskunde** achter deep learning. Hiervoor raden we het boek [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) aan van Ian Goodfellow, Yoshua Bengio en Aaron Courville, dat ook online beschikbaar is op [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Business cases voor het gebruik van **AI in Business**. Overweeg het volgen van het leerpad [Introductie tot AI voor zakelijke gebruikers](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) op Microsoft Learn, of [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), ontwikkeld in samenwerking met [INSEAD](https://www.insead.edu/). +* **Klassieke Machine Learning**, die goed wordt beschreven in ons [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners). +* Praktische AI-toepassingen gebouwd met **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Hiervoor raden we aan te starten met Microsoft Learn-modules voor [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natuurlijke taalverwerking](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatieve AI met Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** en andere. +* Specifieke ML **Cloud Frameworks**, zoals [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), of [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Overweeg de leerpaden [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) en [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** en **Chatbots**. Er is een apart leerpad [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), en je kunt ook [deze blogpost](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) raadplegen voor meer details. +* **Diepe wiskunde** achter deep learning. Hiervoor raden we [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) aan van Ian Goodfellow, Yoshua Bengio en Aaron Courville, die ook online beschikbaar is op [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Voor een zachte introductie in _AI in de cloud_ kun je overwegen het leerpad [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) te volgen. +Voor een zachte introductie tot _AI in de Cloud_-onderwerpen overweeg je het leerpad [Aan de slag met kunstmatige intelligentie op Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Inhoud -| | Leslink | PyTorch/Keras/TensorFlow | Lab | +| | Les Link | PyTorch/Keras/TensorFlow | Lab | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Cursusopzet](./lessons/0-course-setup/setup.md) | [Stel je ontwikkelomgeving in](./lessons/0-course-setup/how-to-run.md) | | -| I | [**Inleiding tot AI**](./lessons/1-Intro/README.md) | | | -| 01 | [Inleiding en geschiedenis van AI](./lessons/1-Intro/README.md) | - | - | +| 0 | [Cursus Setup](./lessons/0-course-setup/setup.md) | [Stel je ontwikkelomgeving in](./lessons/0-course-setup/how-to-run.md) | | +| I | [**Introductie tot AI**](./lessons/1-Intro/README.md) | | | +| 01 | [Introductie en Geschiedenis van AI](./lessons/1-Intro/README.md) | - | - | | II | **Symbolische AI** | -| 02 | [Kennisrepresentatie en Expertsystemen](./lessons/2-Symbolic/README.md) | [Expertsystemen](./lessons/2-Symbolic/Animals.ipynb) / [Ontologie](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Conceptgrafiek](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**Inleiding in Neurale Netwerken**](./lessons/3-NeuralNetworks/README.md) ||| +| 02 | [Kennisrepresentatie en Expert Systemen](./lessons/2-Symbolic/README.md) | [Expert Systemen](./lessons/2-Symbolic/Animals.ipynb) / [Ontologie](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Conceptgrafiek](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**Introductie tot Neurale Netwerken**](./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 | [Meerlagig Perceptron en het maken van ons eigen 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 | [Introductie tot frameworks (PyTorch/TensorFlow) en 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 | [**Computervisie**](./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)| [Ontdek computervisie op Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Introductie tot computervisie. 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 | [Convolutionele neurale netwerken](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-architecturen](./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 | [Voorgetrainde netwerken en transfer learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Trainingtips](./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) | +| 04 | [Meerlaagse Perceptron en het creëren van ons eigen 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 | [Introductie tot Frameworks (PyTorch/TensorFlow) en 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 | [**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)| [Verken Computer Vision op Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [Introductie tot Computer Vision. 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 | [Convolutionele Neurale Netwerken](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Architecturen](./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 | [Voorgetrainde Netwerken en Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) en [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 en VAE's](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Generatieve adversariële netwerken & artistieke stijloverdracht](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 10 | [Generative Adversarial Networks & Artistieke Stijl 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 | [Objectdetectie](./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 | [Semantische segmentatie. 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 | [**Natuurlijke taalverwerking**](./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) | [Ontdek natuurlijke taalverwerking op Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 12 | [Semantische Segmentatie. 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 | [**Natuurlijke Taalverwerking**](./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) | [Verken Natuurlijke Taalverwerking op Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| | 13 | [Tekstrepresentatie. 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 | [Semantische woord-embeddings. Word2Vec en 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 | [Taalmodellering. Het trainen van je eigen 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) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [Recurrente neurale netwerken](./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 | [Generatieve recurrente netwerken](./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) | +| 14 | [Semantische woordembeddings. Word2Vec en 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 | [Taalkundige Modellen. Je eigen embeddings trainen](./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 | [Recurrente Neurale Netwerken](./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 | [Generatieve Recurrente Netwerken](./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 | [Herkenning van benoemde entiteiten](./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 | [Grote taalmodellen, prompt-programmering en taken met weinig voorbeelden](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.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) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Grote taalmodellen, promptprogrammering en few-shot taken](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Andere AI-technieken** || | | 21 | [Genetische algoritmen](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Diepe versterkende leermethoden](./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-agentsystemen](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| 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) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [Multi-Agentsystemen](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **AI-ethiek** | | | -| 24 | [AI-ethiek en Verantwoorde AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principes voor Verantwoorde AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| 24 | [AI-ethiek en Verantwoordelijke AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Verantwoordelijke AI-principes](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Extra's** | | | -| 25 | [Multimodale netwerken, CLIP en VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 25 | [Multi-modale netwerken, CLIP en VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Elke les bevat -* Vooraf te lezen materiaal -* Uitvoerbare Jupyter Notebooks, die vaak specifiek zijn voor het framework (**PyTorch** of **TensorFlow**). Het uitvoerbare notebook bevat ook veel theoretisch materiaal, dus om het onderwerp te begrijpen moet je ten minste één versie van het notebook doornemen (ofwel PyTorch of TensorFlow). -* **Labs** beschikbaar voor sommige onderwerpen, die je de kans geven het geleerde toe te passen op een specifiek probleem. +* Voorleesmateriaal +* Uitvoerbare Jupyter Notebooks, die vaak specifiek zijn voor het framework (**PyTorch** of **TensorFlow**). Het uitvoerbare notebook bevat ook veel theoretisch materiaal, dus om het onderwerp te begrijpen moet je minstens één versie van het notebook doornemen (PyTorch of TensorFlow). +* **Labs** beschikbaar voor sommige onderwerpen, die je de mogelijkheid geven om het geleerde materiaal toe te passen op een specifieke probleemstelling. * Sommige secties bevatten links naar [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modules die gerelateerde onderwerpen behandelen. ## Aan de slag ### 🎯 Nieuw in AI? Begin hier! -Als je helemaal nieuw bent in AI en snelle, praktische voorbeelden wilt, bekijk onze [**Voorbeelden voor beginners**](./examples/README.md)! Deze omvatten: +Als je helemaal nieuw bent in AI en snel praktische voorbeelden wilt zien, bekijk dan onze [**Beginner-Friendly Examples**](./examples/README.md)! Deze bevatten: -- 🌟 **Hello AI World** - Je eerste AI-programma (patroonherkenning) -- 🧠 **Eenvoudig neuraal netwerk** - Bouw een neuraal netwerk vanaf nul -- 🖼️ **Beeldclassificator** - Classificeer afbeeldingen met gedetailleerde opmerkingen -- 💬 **Tekstsentiment** - Analyseer positieve/negatieve tekst +- 🌟 **Hallo AI Wereld** - Je eerste AI-programma (patroonherkenning) +- 🧠 **Eenvoudig Neuraal Netwerk** - Bouw een neuraal netwerk vanaf nul +- 🖼️ **Beeldclassificatie** - Classificeer afbeeldingen met gedetailleerde commentaar +- 💬 **Tekst Sentiment** - Analyseer positieve/negatieve tekst -These examples are designed to help you understand AI concepts before diving into the full curriculum. +Deze voorbeelden zijn ontworpen om je te helpen AI-concepten te begrijpen voordat je aan het volledige curriculum begint. -### 📚 Volledige cursusopzet +### 📚 Volledige Curriculum Setup -- We have created a [instructieles](./lessons/0-course-setup/setup.md) to help you with setting up your development environment. - For Educators, we have created a [curriculumopzetles](./lessons/0-course-setup/for-teachers.md) for you too! -- Hoe [de code in VSCode of Codepace uit te voeren](./lessons/0-course-setup/how-to-run.md) +- We hebben een [opstaples](./lessons/0-course-setup/setup.md) gemaakt om je te helpen met het opzetten van je ontwikkelomgeving. - Voor docenten hebben we ook een [curriculum setup les](./lessons/0-course-setup/for-teachers.md) gemaakt! +- Hoe je de [code kunt uitvoeren in VSCode of een Codepace](./lessons/0-course-setup/how-to-run.md) -Follow these steps: +Volg deze stappen: -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +Fork de Repository: Klik op de knop "Fork" rechtsboven op deze pagina. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Clone de Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +Vergeet niet om deze repo te voorzien van een ster (🌟) zodat je hem later gemakkelijker terugvindt. -## Ontmoet andere leerlingen +## Ontmoet andere Leerlingen -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. +Word lid van onze [officiële AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) om andere cursisten die deze cursus volgen te ontmoeten, netwerken en ondersteuning te krijgen. -If you have product feedback or questions whilst building visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +Als je productfeedback of vragen hebt tijdens het bouwen, bezoek dan onze [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) -## Quizzes +## Quizzen -> **Een opmerking over quizzen**: 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. +> **Een opmerking over quizzen**: Alle quizzen bevinden zich in de Quiz-app map in etc\quiz-app, of [Online Hier](https://ff-quizzes.netlify.app/) Ze zijn gekoppeld vanaf binnen de lessen, de quiz app kan lokaal worden uitgevoerd of naar Azure worden gedeployed; volg de instructies in de `quiz-app` map. Ze worden geleidelijk gelokaliseerd. -## Hulp gewenst +## Hulp Gevraagd -Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request. +Heb je suggesties of fouten in spelling of code gevonden? Dien een issue in of maak een pull request aan. -## Speciale dank +## Speciale Dank * **✍️ Hoofdauteur:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 Redacteur:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Sketchnote-illustrator:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD +* **🎨 Sketchnote illustrator:** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ Quizmaker:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) * **🙏 Kernbijdragers:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Andere curricula +## Andere Curriculum -Our team produces other curricula! Check out: +Ons team maakt ook andere curricula! Bekijk: ### LangChain @@ -179,7 +189,7 @@ Our team produces other curricula! Check out: --- -### Generative AI Series +### Generatieve AI Serie [![Generative AI voor 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) @@ -187,36 +197,36 @@ Our team produces other curricula! Check out: --- -### Kernonderwijs +### Kernleren [![ML voor 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 voor 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 voor 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 voor 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 voor 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 voor 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 voor 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) +[![XR Development voor Beginners](https://img.shields.io/badge/XR%20Development%20voor%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### Copilot Series -[![Copilot voor 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 Serie +[![Copilot voor AI Gecombineerd Programmeren](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 voor 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 Avontuur](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) -## Hulp krijgen +## Hulp Krijgen -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. +Als je vastloopt of vragen hebt over het bouwen van AI-apps. Doe mee met medecursisten en ervaren ontwikkelaars in discussies over MCP. Het is een ondersteunende community waar vragen welkom zijn en kennis vrij wordt gedeeld. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -If you have product feedback or errors while building visit: +Als je productfeedback of fouten tegenkomt tijdens het bouwen, bezoek: [![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) --- -**Disclaimer**: -Dit document is vertaald met behulp van de AI-vertalingsdienst [Co-op Translator](https://github.com/Azure/co-op-translator). Hoewel wij streven naar nauwkeurigheid, dient u er rekening mee te houden dat geautomatiseerde vertalingen fouten of onnauwkeurigheden kunnen bevatten. Het oorspronkelijke document in de brontaal dient als gezaghebbende bron te worden beschouwd. Voor cruciale informatie wordt een professionele, door een mens uitgevoerde vertaling aanbevolen. Wij zijn niet aansprakelijk voor eventuele misverstanden of verkeerde interpretaties die voortvloeien uit het gebruik van deze vertaling. +**Disclaimer**: +Dit document is vertaald met behulp van de AI-vertalingsdienst [Co-op Translator](https://github.com/Azure/co-op-translator). Hoewel we streven naar nauwkeurigheid, dient u er rekening mee te houden dat automatische vertalingen fouten of onnauwkeurigheden kunnen bevatten. Het oorspronkelijke document in de oorspronkelijke taal moet als de gezaghebbende bron worden beschouwd. Voor cruciale informatie wordt professionele menselijke vertaling aanbevolen. Wij zijn niet aansprakelijk voor enige misverstanden of verkeerde interpretaties die voortvloeien uit het gebruik van deze vertaling. \ No newline at end of file diff --git a/translations/no/README.md b/translations/no/README.md index c96f9faf..d4b84f0a 100644 --- a/translations/no/README.md +++ b/translations/no/README.md @@ -1,70 +1,81 @@ -[![GitHub-lisens](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![GitHub-bidragsytere](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-forespørsler](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PR-er velkomne](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-overvåkere](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![GitHub-forker](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![GitHub-stjerner](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) -# Kunstig intelligens for nybegynnere - En læreplan +# Kunstig intelligens for nybegynnere - Et undervisningsopplegg -|![Sketchnote av @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.no.png)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.no.png)| |:---:| -| AI for nybegynnere - _Sketchnote av [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI For Beginners - _Sketchnote av [@girlie_mac](https://twitter.com/girlie_mac)_ | -Utforsk verden av **kunstig intelligens** (AI) med vår 12-ukers, 24-leksjoners læreplan! Den inkluderer praktiske leksjoner, tester og laboratorier. Læreplanen er nybegynnervennlig og dekker verktøy som TensorFlow og PyTorch, samt etikk innen AI +Utforsk verden av **Kunstig Intelligens** (AI) med vårt 12-ukers, 24-leksjoners undervisningsopplegg! Det inkluderer praktiske leksjoner, quizzer og laboratorier. Undervisningsopplegget er nybegynnervennlig og dekker verktøy som TensorFlow og PyTorch, samt etikk innen AI -### 🌐 Flerspråklig støtte -#### Støttet via GitHub Action (Automatisert og alltid oppdatert) +### 🌐 Fler-språklig støtte + +#### Støttet via GitHub Action (Automatisert & Alltid oppdatert) -[Arabisk](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarsk](../bg/README.md) | [Burmesisk (Myanmar)](../my/README.md) | [Kinesisk (forenklet)](../zh/README.md) | [Kinesisk (tradisjonell, Hongkong)](../hk/README.md) | [Kinesisk (tradisjonell, Macau)](../mo/README.md) | [Kinesisk (tradisjonell, Taiwan)](../tw/README.md) | [Kroatisk](../hr/README.md) | [Tsjekkisk](../cs/README.md) | [Dansk](../da/README.md) | [Nederlandsk](../nl/README.md) | [Estisk](../et/README.md) | [Finsk](../fi/README.md) | [Fransk](../fr/README.md) | [Tysk](../de/README.md) | [Gresk](../el/README.md) | [Hebraisk](../he/README.md) | [Hindi](../hi/README.md) | [Ungarsk](../hu/README.md) | [Indonesisk](../id/README.md) | [Italiensk](../it/README.md) | [Japansk](../ja/README.md) | [Kannada](../kn/README.md) | [Koreansk](../ko/README.md) | [Litauisk](../lt/README.md) | [Malayisk](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigeriansk pidgin](../pcm/README.md) | [Norsk](./README.md) | [Persisk (Farsi)](../fa/README.md) | [Polsk](../pl/README.md) | [Portugisisk (Brasil)](../br/README.md) | [Portugisisk (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumensk](../ro/README.md) | [Russisk](../ru/README.md) | [Serbisk (kyrillisk)](../sr/README.md) | [Slovakisk](../sk/README.md) | [Slovensk](../sl/README.md) | [Spansk](../es/README.md) | [Swahili](../sw/README.md) | [Svensk](../sv/README.md) | [Tagalog (filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Tyrkisk](../tr/README.md) | [Ukrainsk](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesisk](../vi/README.md) +[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Kinesisk (forenklet)](../zh/README.md) | [Kinesisk (tradisjonell, Hong Kong)](../hk/README.md) | [Kinesisk (tradisjonell, Macau)](../mo/README.md) | [Kinesisk (tradisjonell, Taiwan)](../tw/README.md) | [Kroatisk](../hr/README.md) | [Tsjekkisk](../cs/README.md) | [Dansk](../da/README.md) | [Nederlandsk](../nl/README.md) | [Estisk](../et/README.md) | [Finsk](../fi/README.md) | [Fransk](../fr/README.md) | [Tysk](../de/README.md) | [Gresk](../el/README.md) | [Hebraisk](../he/README.md) | [Hindi](../hi/README.md) | [Ungarsk](../hu/README.md) | [Indonesisk](../id/README.md) | [Italiensk](../it/README.md) | [Japansk](../ja/README.md) | [Kannada](../kn/README.md) | [Koreansk](../ko/README.md) | [Litauisk](../lt/README.md) | [Malayisk](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalesisk](../ne/README.md) | [Nigeriansk pidgin](../pcm/README.md) | [Norsk](./README.md) | [Persisk (Farsi)](../fa/README.md) | [Polsk](../pl/README.md) | [Portugisisk (Brasil)](../br/README.md) | [Portugisisk (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumensk](../ro/README.md) | [Russisk](../ru/README.md) | [Serbisk (kyrillisk)](../sr/README.md) | [Slovakisk](../sk/README.md) | [Slovensk](../sl/README.md) | [Spansk](../es/README.md) | [Swahili](../sw/README.md) | [Svensk](../sv/README.md) | [Tagalog (Filippinsk)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Tyrkisk](../tr/README.md) | [Ukrainsk](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesisk](../vi/README.md) + +> **Foretrekker du å klone lokalt?** + +> Dette depotet inkluderer 50+ språkoversettelser som betydelig øker nedlastningsstørrelsen. For å klone uten oversettelser, bruk 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' +> ``` +> Dette gir deg alt du trenger for å fullføre kurset med en mye raskere nedlasting. -**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)** +**Hvis du ønsker at flere oversettelsesspråk skal støttes er de oppført [her](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Bli med i fellesskapet [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) ## Hva du vil lære -**[Kursets tankekart](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[Tankekart over kurset](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -I denne læreplanen vil du lære: +I dette undervisningsopplegget vil du lære: -* Ulike tilnærminger til kunstig intelligens, inkludert den «gode, gamle» symbolske tilnærmingen med **kunnskapsrepresentasjon** og resonnement ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Nevrale nettverk** og **dyp læring**, som er kjernen i moderne AI. Vi vil illustrere konseptene bak disse viktige emnene ved hjelp av kode i to av de mest populære rammeverkene - [TensorFlow](http://Tensorflow.org) og [PyTorch](http://pytorch.org). -* **Nevrale arkitekturer** for arbeid med bilder og tekst. Vi vil dekke nyere modeller, men kan være noe mangelfulle når det gjelder det nyeste innen feltet. -* Mindre populære AI-tilnærminger, som **genetiske algoritmer** og **multi-agent-systemer**. +* Ulike tilnærminger til kunstig intelligens, inkludert den "gode gamle" symbolske tilnærmingen med **Kunnskapsrepresentasjon** og resonnement ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Nevrale nettverk** og **Dyp læring**, som er kjernen i moderne AI. Vi vil illustrere konseptene bak disse viktige temaene ved bruk av kode i to av de mest populære rammeverkene - [TensorFlow](http://Tensorflow.org) og [PyTorch](http://pytorch.org). +* **Neurale arkitekturer** for arbeid med bilder og tekst. Vi vil dekke nyere modeller, men kan være noe mangelfull på det mest avanserte. +* Mindre populære AI-tilnærminger, som **Genetiske algoritmer** og **Multi-Agent Systemer**. -Hva vi ikke vil dekke i denne læreplanen: +Hva vi ikke vil dekke i dette undervisningsopplegget: -> [Finn alle ekstra ressurser for dette kurset i vår Microsoft Learn-samling](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Finn alle tilleggsmaterialer for dette kurset i vår Microsoft Learn-samling](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Forretningscaser for bruk av **AI i virksomheter**. Vurder å ta [Introduksjon til AI for forretningsbrukere](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) læringssti på Microsoft Learn, eller [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), utviklet i samarbeid med [INSEAD](https://www.insead.edu/). -* **Klassisk maskinlæring**, som er godt beskrevet i vår [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners). -* Praktiske AI-applikasjoner bygget ved hjelp av **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. For dette anbefaler vi at du begynner med Microsoft Learn-modulene for [datamaskinsyn](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [naturlig språkbehandling](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativ AI med Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** og andre. -* Spesifikke ML **sky-rammeverk**, som [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), eller [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Vurder å bruke [Bygg og drift av maskinlæringsløsninger med Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) og [Bygg og drift av maskinlæringsløsninger med Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) læringsstier. -* **Samtale-AI** og **chatboter**. Det finnes en egen [Lag samtale-AI-løsninger](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) læringssti, og du kan også referere til [denne bloggposten](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for mer detaljer. +* Forretningssaker for bruk av **AI i næringslivet**. Vurder å ta [Introduksjon til AI for forretningsbrukere](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) på Microsoft Learn, eller [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), utviklet i samarbeid med [INSEAD](https://www.insead.edu/). +* **Klassisk maskinlæring**, som er godt beskrevet i vårt [Maskinlæring for nybegynnere undervisningsopplegg](http://github.com/Microsoft/ML-for-Beginners). +* Praktiske AI-applikasjoner bygget med **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. For dette anbefaler vi at du starter med moduler på Microsoft Learn for [syn](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [naturlig språkbehandling](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativ AI med Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** og andre. +* Spesifikke ML **sky-rammeverk**, som [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), eller [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Vurder å bruke [Bygg og drift maskinlæringsløsninger med Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) og [Bygg og drift maskinlæringsløsninger med Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) læringsstier. +* **Samtale-AI** og **Chat Bots**. Det finnes en egen [Lag samtale-AI-løsninger](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) læringssti, og du kan også se [denne bloggposten](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for mer detalj. * **Dyp matematikk** bak dyp læring. For dette anbefaler vi [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) av Ian Goodfellow, Yoshua Bengio og Aaron Courville, som også er tilgjengelig online på [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -For en myk introduksjon til temaene _AI i skyen_ kan du vurdere å ta [Kom i gang med kunstig intelligens på Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) læringssti. +For en mild introduksjon til _AI i skyen_ temaer kan du vurdere å ta [Kom i gang med kunstig intelligens på Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) læringssti. # Innhold @@ -72,95 +83,97 @@ For en myk introduksjon til temaene _AI i skyen_ kan du vurdere å ta [Kom i gan | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 0 | [Kursoppsett](./lessons/0-course-setup/setup.md) | [Sett opp utviklingsmiljøet ditt](./lessons/0-course-setup/how-to-run.md) | | | I | [**Introduksjon til AI**](./lessons/1-Intro/README.md) | | | -| 01 | [Introduksjon og historie om AI](./lessons/1-Intro/README.md) | - | - | +| 01 | [Introduksjon og historikk for AI](./lessons/1-Intro/README.md) | - | - | | II | **Symbolsk AI** | -| 02 | [Kunnskapsrepresentasjon og ekspertsystemer](./lessons/2-Symbolic/README.md) | [Ekspertsystemer](./lessons/2-Symbolic/Animals.ipynb) / [Ontologi](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Begrepsgraf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| 02 | [Kunnskapsrepresentasjon og ekspertsystemer](./lessons/2-Symbolic/README.md) | [Ekspertsystemer](./lessons/2-Symbolic/Animals.ipynb) / [Ontologi](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konseptgraf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Introduksjon til nevrale nettverk**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notatbok](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Flerlaget perceptron og å lage vårt eget rammeverk](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notatbok](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Introduksjon til rammeverk (PyTorch/TensorFlow) og overtilpasning](./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 | [**Datamaskinsyn**](./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)| [Utforsk datamaskinsyn på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Introduksjon til datamaskinsyn. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notatbok](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Konvolusjonsnevrale nettverk](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-arkitekturer](./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 | [Forhåndstrente nettverk og overføringslæring](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Treningstips](./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 | [Autoenkodere og VAE-er](./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-nettverk og kunstnerisk stiloverføring](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 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 | [Flerlags Perceptron og Lage vårt eget Rammeverk](./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 | [Introduksjon til Rammeverk (PyTorch/TensorFlow) og Overtilpasning](./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 | [**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)| [Utforsk Computer Vision på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [Introduksjon til Computer Vision. 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 | [Konvolusjonelle Nevrale Nettverk](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Arkitekturer](./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 | [Forhåndstrente Nettverk og Overføringslæring](./lessons/4-ComputerVision/08-TransferLearning/README.md) og [Treningstriks](./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 | [Autoenkodere og VAEer](./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 & Artistisk Stilovertakelse](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Objektdeteksjon](./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 | [Semantisk segmentering. 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 | [**Naturlig språkbehandling**](./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) | [Utforsk naturlig språkbehandling på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Tekstrepresentasjon. 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 | [Semantiske ord-embeddings. Word2Vec og 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 | [Språkmodellering. Trening av egne embeddinger](./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 | [Rekurrente nevrale nettverk](./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 rekurrente nettverk](./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) | +| 12 | [Semantisk Segmentering. 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 | [**Naturlig Språkbehandling**](./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) | [Utforsk Naturlig Språkbehandling på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [Tekstreprensentasjon. 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 | [Semantiske ordinnpakninger. Word2Vec og 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 | [Språkmodellering. Trene dine egne innpakninger](./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 | [Rekurrente Nevrale Nettverk](./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 Rekurrente Nettverk](./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 | [Navngitt entitetsgjenkjenning](./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 | [Store språkmodeller, prompt-programmering og few-shot-oppgaver](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **Andre AI-teknikker** || | -| 21 | [Genetiske algoritmer](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notatbok](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Dyp forsterkende læring](./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-systemer](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **AI-etikk** | | | -| 24 | [AI-etikk og ansvarlig AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Prinsipper for ansvarlig AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| 19 | [Navngitt Entitetsgjenkjenning](./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 | [Store Språkmodeller, Prompt-programmering og Få-skudds-oppgaver](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **Andre AI Teknikker** || | +| 21 | [Genetiske Algoritmer](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [Dyp Forsterkende Læring](./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 Systemer](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| VII | **AI Etikk** | | | +| 24 | [AI Etikk og Ansvarlig AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Ansvarlige AI Prinsipper](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Ekstra** | | | -| 25 | [Multimodale nettverk, CLIP og VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notatbok](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 25 | [Multimodale Nettverk, CLIP og VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Hver leksjon inneholder -* Forberedende lesestoff -* Kjørbare Jupyter-notatbøker, som ofte er spesifikke for rammeverket (**PyTorch** eller **TensorFlow**). Den kjørbare notatboken inneholder også mye teoretisk materiale, så for å forstå temaet må du gå gjennom minst én versjon av notatboken (enten PyTorch eller TensorFlow). -* **Lab-øvelser** tilgjengelige for noen emner, som gir deg en mulighet til å prøve å anvende materialet du har lært på et konkret problem. +* Forhåndslesningsmateriale +* Kjørbare Jupyter Notebooks, som ofte er spesifikke for rammeverket (**PyTorch** eller **TensorFlow**). Den kjørbare notebooken inneholder også mye teoretisk materiale, så for å forstå emnet må du gå gjennom minst én versjon av notebooken (enten PyTorch eller TensorFlow). +* **Labber** tilgjengelig for noen emner, som gir deg muligheten til å prøve å bruke materialet du har lært på et spesifikt problem. * Noen seksjoner inneholder lenker til [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moduler som dekker relaterte emner. -## Kom i gang +## Komme i gang ### 🎯 Ny i AI? Start her! -Hvis du er helt ny innen AI og ønsker raske, praktiske eksempler, sjekk ut våre [**Begynnervennlige eksempler**](./examples/README.md)! Disse inkluderer: +Hvis du er helt ny i AI og vil ha raske, praktiske eksempler, sjekk ut våre [**Nybegynnervennlige eksempler**](./examples/README.md)! Disse inkluderer: - 🌟 **Hello AI World** - Ditt første AI-program (mønster-gjenkjenning) -- 🧠 **Enkelt nevralt nettverk** - Bygg et nevralt nettverk fra bunnen av -- 🖼️ **Bildeklassifikator** - Klassifiser bilder med detaljerte kommentarer -- 💬 **Tekst-sentiment** - Analyser positiv/negativ tekst +- 🧠 **Enkelt Nevralt Nettverk** - Bygg et nevralt nettverk fra bunnen av +- 🖼️ **Bildklassifiserer** - Klassifiser bilder med detaljerte kommentarer +- 💬 **Tekststemning** - Analyser positiv/negativ tekst -These examples are designed to help you understand AI concepts before diving into the full curriculum. +Disse eksemplene er laget for å hjelpe deg å forstå AI-konsepter før du går videre i hele pensumet. -### 📚 Fullt pensumoppsett +### 📚 Full pensumoppsett -- Vi har laget en [oppsett-leksjon](./lessons/0-course-setup/setup.md) for å hjelpe deg med å sette opp utviklingsmiljøet ditt. - For undervisere har vi også laget en [oppsett-leksjon for lærere](./lessons/0-course-setup/for-teachers.md) for dere! +- Vi har laget en [oppsett-leksjon](./lessons/0-course-setup/setup.md) for å hjelpe deg med å sette opp utviklingsmiljøet ditt. - For lærere har vi også laget en [pensumoppsett-leksjon](./lessons/0-course-setup/for-teachers.md)! - Hvordan [kjøre koden i VSCode eller Codepace](./lessons/0-course-setup/how-to-run.md) -Follow these steps: +Følg disse trinnene: -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +Fork depotet: Klikk på "Fork" knappen øverst til høyre på denne siden. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Klon depotet: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +Ikke glem å gi stjerne (🌟) til dette repoet for lettere å finne det senere. -## Møt andre deltakere +## Møt andre lærende -Join our [offisielle 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. +Bli med i vår [offisielle AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) for å møte og nettverke med andre som tar dette kurset og få støtte. -If you have product feedback or questions whilst building visit our [Azure AI Foundry Utviklerforum](https://aka.ms/foundry/forum) +Hvis du har produktinnspill eller spørsmål mens du bygger, besøk vår [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) -## Quizzes +## Quizzer -> **Et notat om quizzer**: All quizzes are contained in the Quiz-app folder in etc\quiz-app, or [Online her](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. +> **En merknad om quizzer**: Alle quizzer finnes i Quiz-app-mappen i etc\quiz-app, eller [Online her](https://ff-quizzes.netlify.app/) De er linket fra leksjonene, quiz-appen kan kjøres lokalt eller distribueres til Azure; følg instruksjonen i `quiz-app` mappen. De blir gradvis oversatt. ## Hjelp ønskes -Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request. +Har du forslag eller funnet stavefeil eller kodefeil? Opprett en issue eller en pull request. ## Spesiell takk * **✍️ Hovedforfatter:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Redaktør:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Sketchnote-illustratør:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **🎨 Sketchnote illustratør:** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ Quizskaper:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) * **🙏 Kjernebidragsytere:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Andre læreplaner +## Andre pensum + +Teamet vårt produserer andre pensum! Sjekk ut: ### LangChain @@ -176,7 +189,7 @@ Do you have suggestions or found spelling or code errors? Raise an issue or crea [![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) --- - + ### Generativ AI-serie [![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) @@ -184,7 +197,7 @@ Do you have suggestions or found spelling or code errors? Raise an issue or crea [![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) --- - + ### Kjerneopplæring [![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) @@ -195,8 +208,8 @@ Do you have suggestions or found spelling or code errors? Raise an issue or crea [![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-serien + +### Copilot-serie [![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) @@ -204,17 +217,17 @@ Do you have suggestions or found spelling or code errors? Raise an issue or crea ## Få hjelp -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. +Hvis du sitter fast eller har spørsmål om å bygge AI-apper, bli med andre lærende og erfarne utviklere i diskusjoner om MCP. Det er et støttende fellesskap hvor spørsmål er velkomne og kunnskap deles fritt. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -If you have product feedback or errors while building visit: +Hvis du har produktinnspill eller finner feil mens du bygger, besøk: [![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) --- -Ansvarsfraskrivelse: -Dette dokumentet er oversatt ved hjelp av AI-oversettelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selv om vi gjør vårt beste for å sikre nøyaktighet, må du være oppmerksom på at automatiske oversettelser kan inneholde feil eller unøyaktigheter. Det originale dokumentet på sitt opprinnelige språk skal betraktes som den autoritative kilden. For kritisk informasjon anbefales profesjonell menneskelig oversettelse. Vi er ikke ansvarlige for eventuelle misforståelser eller feiltolkninger som oppstår ved bruk av denne oversettelsen. +**Ansvarsfraskrivelse**: +Dette dokumentet er oversatt ved hjelp av AI-oversettelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selv om vi streber etter nøyaktighet, vennligst vær oppmerksom på at automatiske oversettelser kan inneholde feil eller unøyaktigheter. Det originale dokumentet på sitt opprinnelige språk skal betraktes som den autoritative kilden. For viktig informasjon anbefales profesjonell menneskelig oversettelse. Vi påtar oss ikke ansvar for eventuelle misforståelser eller feiltolkninger som oppstår ved bruk av denne oversettelsen. \ No newline at end of file diff --git a/translations/sv/README.md b/translations/sv/README.md index b8dc7307..70ec31aa 100644 --- a/translations/sv/README.md +++ b/translations/sv/README.md @@ -1,156 +1,167 @@ -[![GitHub-licens](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![GitHub-bidragsgivare](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![GitHub-ärenden](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![GitHub pullförfrågningar](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PRs välkomna](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-övervakare](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-stjärnor](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) -# Artificiell intelligens för nybörjare - En läroplan +# Artificiell intelligens för nybörjare - Ett läroprogram |![Sketchnote av @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.sv.png)| |:---:| -| AI For Beginners - _Sketchnote av [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI För Nybörjare - _Sketchnote av [@girlie_mac](https://twitter.com/girlie_mac)_ | -Utforska världen av **Artificiell intelligens** (AI) med vår 12-veckors, 24-lektioners läroplan! Den innehåller praktiska lektioner, quiz och laborationer. Läroplanen är nybörjarvänlig och täcker verktyg som TensorFlow och PyTorch, samt etik inom AI +Utforska världen av **Artificiell Intelligens** (AI) med vårt 12-veckors, 24-lektioners läroprogram! Det inkluderar praktiska lektioner, quiz och labbar. Läroprogrammet är nybörjarvänligt och täcker verktyg som TensorFlow och PyTorch samt etik inom AI -### 🌐 Stöds på flera språk -#### Stöds via GitHub Action (Automatiserat & Alltid uppdaterat) +### 🌐 Flerspråkigt stöd + +#### Stöds via GitHub Action (Automatiserat & Alltid Uppdaterat) -[Arabiska](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgariska](../bg/README.md) | [Burmesiska (Myanmar)](../my/README.md) | [Kinesiska (förenklad)](../zh/README.md) | [Kinesiska (traditionell, Hongkong)](../hk/README.md) | [Kinesiska (traditionell, Macau)](../mo/README.md) | [Kinesiska (traditionell, Taiwan)](../tw/README.md) | [Kroatiska](../hr/README.md) | [Tjeckiska](../cs/README.md) | [Danska](../da/README.md) | [Nederländska](../nl/README.md) | [Estniska](../et/README.md) | [Finska](../fi/README.md) | [Franska](../fr/README.md) | [Tyska](../de/README.md) | [Grekiska](../el/README.md) | [Hebreiska](../he/README.md) | [Hindi](../hi/README.md) | [Ungerska](../hu/README.md) | [Indonesiska](../id/README.md) | [Italienska](../it/README.md) | [Japanska](../ja/README.md) | [Kannada](../kn/README.md) | [Koreanska](../ko/README.md) | [Litauiska](../lt/README.md) | [Malajiska](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalesiska](../ne/README.md) | [Nigeriansk pidgin](../pcm/README.md) | [Norska](../no/README.md) | [Persiska (farsi)](../fa/README.md) | [Polska](../pl/README.md) | [Portugisiska (Brasilien)](../br/README.md) | [Portugisiska (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumänska](../ro/README.md) | [Ryska](../ru/README.md) | [Serbiska (kyrilliska)](../sr/README.md) | [Slovakiska](../sk/README.md) | [Slovenska](../sl/README.md) | [Spanska](../es/README.md) | [Swahili](../sw/README.md) | [Svenska](./README.md) | [Tagalog (filippinsk)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thailändska](../th/README.md) | [Turkiska](../tr/README.md) | [Ukrainska](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesiska](../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](./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) + +> **Föredrar du att klona lokalt?** + +> Det här arkivet inkluderar över 50 språköversättningar vilket väsentligt ökar nedladdningsstorleken. För att klona utan översättningar, använd 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' +> ``` +> Detta ger dig allt du behöver för att slutföra kursen med en mycket snabbare nedladdning. -**Om du vill ha ytterligare översättningar finns stödda språk listade [här](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Om du önskar få ytterligare översättningsspråk stöds de listade [här](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** -## Gå med i communityn +## Gå med i gemenskapen [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) ## Vad du kommer att lära dig -**[Tankekarta för kursen](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[Mindmap över kursen](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -I denna läroplan kommer du att lära dig: +I detta läroprogram kommer du att lära dig: -* Olika angreppssätt till artificiell intelligens, inklusive den "goda gamla" symboliska ansatsen med **kunskapsrepresentation** och slutledningsresonemang ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Neurala nätverk** och **djupinlärning**, som är kärnan i modern AI. Vi kommer att illustrera koncepten bakom dessa viktiga ämnen med kod i två av de mest populära ramverken - [TensorFlow](http://Tensorflow.org) och [PyTorch](http://pytorch.org). -* **Neurala arkitekturer** för arbete med bilder och text. Vi kommer att täcka nyare modeller men kan vara något bristfälliga i det senaste inom området. -* Mindre populära AI-ansatser, såsom **genetiska algoritmer** och **multi-agent-system**. +* Olika tillvägagångssätt för artificiell intelligens, inklusive "det goda gamla" symboliska tillvägagångssättet med **Kunskapsrepresentation** och resonemang ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Neurala nätverk** och **Djupinlärning**, vilka är kärnan i modern AI. Vi kommer att illustrera koncepten bakom dessa viktiga ämnen med kod i två av de mest populära ramverken - [TensorFlow](http://Tensorflow.org) och [PyTorch](http://pytorch.org). +* **Neurala arkitekturer** för arbete med bilder och text. Vi kommer att täcka nyare modeller men kan vara något begränsade inom det senaste. +* Mindre populära AI-tillvägagångssätt, såsom **Genetiska algoritmer** och **Multi-agent-system**. -Vad vi inte kommer att täcka i denna läroplan: +Vad vi inte kommer att täcka i detta läroprogram: -> [Hitta alla ytterligare resurser för denna kurs i vår Microsoft Learn-samling](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Hitta alla extra resurser för denna kurs i vår Microsoft Learn-samling](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Affärsfall för användning av **AI i företag**. Överväg att gå [Introduktion till AI för företagsanvändare](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) lärväg på Microsoft Learn, eller [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), utvecklad i samarbete med [INSEAD](https://www.insead.edu/). -* **Klassisk maskininlärning**, som är väl beskriven i vår [Maskininlärning för nybörjare](http://github.com/Microsoft/ML-for-Beginners). -* Praktiska AI-applikationer byggda med **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. För detta rekommenderar vi att du börjar med Microsoft Learn-moduler för [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)** och andra. -* Specifika ML **molnramverk**, såsom [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), eller [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Överväg att använda lärvägarna [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) och [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). -* **Konverserande AI** och **chattbotar**. Det finns en separat lärväg [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), och du kan även hänvisa till [detta blogginlägg](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) för mer detaljer. -* **Djup matematik** bakom djupinlärning. För detta rekommenderar vi [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) av Ian Goodfellow, Yoshua Bengio och Aaron Courville, som också finns tillgänglig online på [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Affärsfall för att använda **AI i affärsvärlden**. Överväg att ta [Introduktion till AI för affärsanvändare](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) lärväg på Microsoft Learn, eller [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), utvecklat i samarbete med [INSEAD](https://www.insead.edu/). +* **Klassisk maskininlärning**, vilket beskrivs väl i vårt [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners). +* Praktiska AI-applikationer byggda med **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. För detta rekommenderar vi att du börjar med moduler på Microsoft Learn för [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [naturlig språkbehandling](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativ AI med Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** och andra. +* Specifika ML **molnramverk**, såsom [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) eller [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Överväg att använda [Bygg och drifta maskininlärningslösningar med Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) och [Bygg och drifta maskininlärningslösningar med Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) lärvägar. +* **Konversations-AI** och **Chatbots**. Det finns en separat [Skapa konversations-AI-lösningar](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) lärväg, och du kan också hänvisa till [det här blogginlägget](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) för mer detaljer. +* **Djup matematik** bakom djupinlärning. För detta rekommenderar vi [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) av Ian Goodfellow, Yoshua Bengio och Aaron Courville, som också finns online på [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -För en mjuk introduktion till ämnena _AI i molnet_ kan du överväga att gå lärvägen [Kom igång med artificiell intelligens på Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +För en mjuk introduktion till _AI i molnet_-ämnen kan du överväga att ta [Kom igång med artificiell intelligens på Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) lärväg. # Innehåll -| | Lektionslänk | PyTorch/Keras/TensorFlow | Laboration | +| | Lektion Länk | PyTorch/Keras/TensorFlow | Lab | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Kursinställning](./lessons/0-course-setup/setup.md) | [Ställ in din utvecklingsmiljö](./lessons/0-course-setup/how-to-run.md) | | +| 0 | [Kursuppsättning](./lessons/0-course-setup/setup.md) | [Ställ in din utvecklingsmiljö](./lessons/0-course-setup/how-to-run.md) | | | I | [**Introduktion till AI**](./lessons/1-Intro/README.md) | | | | 01 | [Introduktion och AI:s historia](./lessons/1-Intro/README.md) | - | - | | II | **Symbolisk AI** | -| 02 | [Kunskapsrepresentation och expertsystem](./lessons/2-Symbolic/README.md) | [Expertsystem](./lessons/2-Symbolic/Animals.ipynb) / [Ontologi](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptgraf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| 02 | [Kunskapsrepresentation och expertsystem](./lessons/2-Symbolic/README.md) | [Expertsystem](./lessons/2-Symbolic/Animals.ipynb) / [Ontologi](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Begreppsgraf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Introduktion till neurala nätverk**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Anteckningsbok](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Labb](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Flerlagrat perceptron och att skapa vårt eget ramverk](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Anteckningsbok](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Labb](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Introduktion till ramverk (PyTorch/TensorFlow) och överanpassning](./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) | [Labb](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [Flerlagrad Perceptron och Skapa vårt eget Ramverk](./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 | [Introduktion till Ramverk (PyTorch/TensorFlow) och Överanpassning](./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 | [**Datorseende**](./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)| [Utforska datorseende på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Introduktion till datorseende. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Anteckningsbok](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Labb](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Konvolutionella neurala nätverk](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-arkitekturer](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Labb](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Förtränade nätverk och transferinlärning](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Träningstips](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labb](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 06 | [Introduktion till Datorseende. 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 | [Konvolutionella Neurala Nätverk](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-arkitekturer](./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 | [Förtränade Nätverk och Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) och [Träningsknep](./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 | [Autoenkodare och VAE:er](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Generativa adversariella nätverk och konstnärlig stilöverföring](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [Objektdetektering](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Labb](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | -| 12 | [Semantisk segmentering. 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 | [**Naturlig språkbehandling**](./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) | [Utforska naturlig språkbehandling på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Textrepresentation. 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 | [Semantiska ordinbäddningar. Word2Vec och 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 | [Språkmodellering. Träna dina egna inbäddningar](./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) | [Labb](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [Rekurrenta neurala nätverk](./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 | [Generativa rekurrenta nätverk](./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) | [Labb](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 10 | [Generativa Adversiella Nätverk & Artistisk Stilöverföring](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [Objektdetektion](./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 | [Semantisk Segmentering. 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 | [**Naturlig Språkbehandling**](./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) | [Utforska naturlig språkbehandling på Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [Textrepresentation. 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 | [Semantiska ordbäddar. Word2Vec och 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 | [Språkmodellering. Träna egna inbäddningar](./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 | [Rekursiva Neurala Nätverk](./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 | [Generativa Rekursiva Nätverk](./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 | [Identifiering av namngivna entiteter](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Labb](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Stora språkmodeller, promptprogrammering och few-shot-uppgifter](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| 19 | [Namngiven Entitetsigenkänning](./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 | [Stora Språkmodeller, Promptprogrammering och Få-Skjutsuppgifter](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Andra AI-tekniker** || | -| 21 | [Genetiska algoritmer](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Anteckningsbok](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Djup förstärkningsinlärning](./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) | [Labb](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [Multiagentssystem](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **AI-etik** | | | -| 24 | [AI-etik och ansvarsfull 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 | **Extra** | | | -| 25 | [Multimodala nätverk, CLIP och VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Anteckningsbok](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 21 | [Genetiska Algoritmer](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [Djupförstärkningsinlärning](./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 System](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| VII | **AI-etiska frågor** | | | +| 24 | [AI-etik och Ansvarsfull AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Ansvarsfulla AI-principer](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| IX | **Extras** | | | +| 25 | [Multimodala nätverk, CLIP och VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Varje lektion innehåller -* Förberedande läsmaterial -* Körbara Jupyter-notebookar, som ofta är specifika för ramverket (**PyTorch** eller **TensorFlow**). Den körbara notebooken innehåller också mycket teoretiskt material, så för att förstå ämnet behöver du gå igenom minst en version av notebooken (antingen PyTorch eller TensorFlow). -* **Labb** finns för vissa ämnen, vilket ger dig möjlighet att försöka tillämpa det du lärt dig på ett specifikt problem. +* Material för förberedande läsning +* Körbara Jupyter Notebook-filer, som ofta är specifika för ramverket (**PyTorch** eller **TensorFlow**). Den körbara notebooken innehåller också mycket teoretiskt material, så för att förstå ämnet behöver du gå igenom minst en version av notebooken (antingen PyTorch eller TensorFlow). +* **Labbar** tillgängliga för vissa ämnen, som ger dig möjlighet att prova att tillämpa det material du har lärt dig på ett specifikt problem. * Vissa avsnitt innehåller länkar till [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moduler som täcker relaterade ämnen. ## Komma igång ### 🎯 Nybörjare inom AI? Börja här! -Om du är helt ny inom AI och vill ha snabba, praktiska exempel, kolla in våra [**Exempel för nybörjare**](./examples/README.md)! Dessa inkluderar: +Om du är helt ny inom AI och vill ha snabba, praktiska exempel, kolla in våra [**Nybörjarvänliga Exempel**](./examples/README.md)! Dessa inkluderar: -- 🌟 **Hello AI World** - Ditt första AI-program (mönsterigenkänning) -- 🧠 **Simple Neural Network** - Bygg ett neuralt nät från grunden -- 🖼️ **Image Classifier** - Klassificera bilder med detaljerade kommentarer -- 💬 **Text Sentiment** - Analysera positiv/negativ text +- 🌟 **Hej AI-världen** - Ditt första AI-program (mönsterigenkänning) +- 🧠 **Enkelt Neuralt Nätverk** - Bygg ett neuralt nätverk från grunden +- 🖼️ **Bildklassificerare** - Klassificera bilder med detaljerade kommentarer +- 💬 **Textsentiment** - Analysera positiv/negativ text -Dessa exempel är utformade för att hjälpa dig förstå AI-koncept innan du dyker in i hela kursplanen. +Dessa exempel är utformade för att hjälpa dig att förstå AI-koncept innan du dyker in i hela kursplanen. -### 📚 Fullständigt kursupplägg +### 📚 Fullständig kursplan -- Vi har skapat en [setup lesson](./lessons/0-course-setup/setup.md) för att hjälpa dig med att ställa in din utvecklingsmiljö. - För lärare har vi också skapat en [curricula setup lesson](./lessons/0-course-setup/for-teachers.md)! -- Hur du [kör koden i VSCode eller en Codepace](./lessons/0-course-setup/how-to-run.md) +- Vi har skapat en [installationslektion](./lessons/0-course-setup/setup.md) för att hjälpa dig med att sätta upp din utvecklingsmiljö. - För lärare har vi också skapat en [kursplaninstallationslektion](./lessons/0-course-setup/for-teachers.md)! +- Hur man [kör koden i VSCode eller Codepace](./lessons/0-course-setup/how-to-run.md) Följ dessa steg: -Fork the Repository: Klicka på "Fork"-knappen uppe till höger på den här sidan. +Fork a repositoriet: Klicka på "Fork" knappen uppe i högra hörnet på denna sida. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Klona repositoriet: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Glöm inte att stjärnmärka (🌟) det här repo:t för att hitta det lättare senare. +Glöm inte att sätta en stjärna (🌟) på detta repo för att enklare hitta det senare. -## Möt andra deltagare +## Träffa andra elever -Gå med i vår [officiella AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) för att träffa och nätverka med andra som tar den här kursen och få stöd. +Gå med i vår [officiella AI Discord-server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) för att träffa och nätverka med andra deltagare i kursen samt få stöd. Om du har produktfeedback eller frågor medan du bygger, besök vårt [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) -## Frågesporter +## Quiz -> **En notering om frågesporter**: Alla frågesporter finns i Quiz-app-mappen i etc\quiz-app, eller [Online här](https://ff-quizzes.netlify.app/) De är länkade från lektionerna; quiz-appen kan köras lokalt eller distribueras till Azure; följ instruktionerna i `quiz-app`-mappen. De håller på att lokaliseras successivt. +> **En notis om quiz:** Alla quiz finns i Quiz-app-mappen i etc\quiz-app, eller [online här](https://ff-quizzes.netlify.app/). De länkas från lektionerna och quiz-appen kan köras lokalt eller distribueras till Azure; följ instruktionerna i `quiz-app`-mappen. De håller på att lokaliseras gradvis. -## Hjälp önskas +## Hjälp efterfrågas -Har du förslag eller hittat stavfel eller kodfel? Öppna ett issue eller skapa en pull request. +Har du förslag eller har hittat stavfel eller kodfel? Skapa en issue eller skicka en pull request. ## Stort tack @@ -158,7 +169,7 @@ Har du förslag eller hittat stavfel eller kodfel? Öppna ett issue eller skapa * **🔥 Redaktör:** [Jen Looper](https://twitter.com/jenlooper), PhD * **🎨 Sketchnote-illustratör:** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ Quizskapare:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Huvudbidragsgivare:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **🙏 Kärnbidragsgivare:** [Evgenii Pishchik](https://github.com/Pe4enIks) ## Andra kursplaner @@ -166,57 +177,57 @@ Vårt team producerar andra kursplaner! Kolla in: ### LangChain -[![LangChain4j för nybörjare](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 för nybörjare](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 för nybörjare](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 för nybörjare](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 för nybörjare](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-agenter för nybörjare](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) --- ### Generativ AI-serie -[![Generativ AI för nybörjare](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) -[![Generativ 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) -[![Generativ 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) -[![Generativ 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) +[![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) --- -### Kärnämnen -[![ML för nybörjare](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) -[![Datavetenskap för nybörjare](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 för nybörjare](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) -[![Cybersäkerhet för nybörjare](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) -[![Webbutveckling för nybörjare](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 för nybörjare](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-utveckling för nybörjare](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) +### Kärnkunskap +[![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-serien -[![Copilot för AI-parprogrammering](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 för 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-serie +[![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) ## Få hjälp -Om du kör fast eller har frågor om att bygga AI-appar. Gå med bland andra deltagare och erfarna utvecklare i diskussioner om MCP. Det är ett stödjande community där frågor är välkomna och kunskap delas fritt. +Om du fastnar eller har frågor om att bygga AI-appar. Gå med tillsammans med andra elever och erfarna utvecklare i diskussioner om MCP. Det är en stödjande gemenskap där frågor är välkomna och kunskap delas fritt. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Om du har produktfeedback eller fel medan du bygger, besök: +Om du har produktfeedback eller problem när du bygger, besök: -[![Microsoft Foundry utvecklarforum](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) --- -Ansvarsfriskrivning: -Detta dokument har översatts med hjälp av AI-översättningstjänsten Co-op Translator (https://github.com/Azure/co-op-translator). Även om vi strävar efter noggrannhet bör du vara medveten om att automatiska översättningar kan innehålla fel eller brister. Det ursprungliga dokumentet på sitt originalspråk ska betraktas som den auktoritativa källan. För kritisk information rekommenderas professionell mänsklig översättning. Vi ansvarar inte för några missförstånd eller feltolkningar som uppstår till följd av användningen av denna översättning. +**Ansvarsfriskrivning**: +Detta dokument har översatts med hjälp av AI-översättningstjänsten [Co-op Translator](https://github.com/Azure/co-op-translator). Även om vi strävar efter noggrannhet bör du vara medveten om att automatiska översättningar kan innehålla fel eller brister. Det ursprungliga dokumentet på dess modersmål bör betraktas som den auktoritativa källan. För kritisk information rekommenderas professionell mänsklig översättning. Vi ansvarar inte för några missförstånd eller feltolkningar som uppstår till följd av användning av denna översättning. \ No newline at end of file diff --git a/translations/th/README.md b/translations/th/README.md index d531329c..65fac840 100644 --- a/translations/th/README.md +++ b/translations/th/README.md @@ -1,46 +1,56 @@ -[![ใบอนุญาต GitHub](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![ผู้ร่วมพัฒนา GitHub](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![ปัญหา GitHub](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/) -[![ยินดีรับ PRs](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) -[![ผู้ติดตาม GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![Forks GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![ดาว GitHub](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) -[![Discord ของ 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) # ปัญญาประดิษฐ์สำหรับผู้เริ่มต้น - หลักสูตร -|![สเก็ตช์โน้ตโดย @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.th.png)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.th.png)| |:---:| -| AI สำหรับผู้เริ่มต้น - _สเก็ตช์โน้ตโดย [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI For Beginners - _สเก็ตช์โน้ตโดย [@girlie_mac](https://twitter.com/girlie_mac)_ | -สำรวจโลกของ **ปัญญาประดิษฐ์** (AI) ด้วยหลักสูตร 12 สัปดาห์ 24 บทเรียนของเรา! หลักสูตรประกอบด้วยบทเรียนเชิงปฏิบัติ การทดสอบย่อย และแลป หลักสูตรเหมาะสำหรับผู้เริ่มต้นและครอบคลุมเครื่องมือต่างๆ เช่น TensorFlow และ PyTorch รวมถึงจริยธรรมใน AI +สำรวจโลกของ **ปัญญาประดิษฐ์** (AI) ด้วยหลักสูตร 12 สัปดาห์ 24 บทเรียนของเรา! ประกอบด้วยบทเรียนเชิงปฏิบัติ แบบทดสอบ และห้องปฏิบัติการ หลักสูตรนี้เหมาะสำหรับผู้เริ่มต้นและครอบคลุมเครื่องมือต่าง ๆ เช่น TensorFlow และ PyTorch รวมถึงจริยธรรมใน AI -### 🌐 การรองรับหลายภาษา +### 🌐 รองรับหลายภาษา -#### รองรับผ่าน GitHub Action (อัตโนมัติ & อัปเดตอยู่เสมอ) +#### สนับสนุนผ่าน GitHub Action (อัตโนมัติและอัปเดตอยู่เสมอ) -[อาหรับ](../ar/README.md) | [เบงกาลี](../bn/README.md) | [บัลแกเรีย](../bg/README.md) | [พม่า (เมียนมา)](../my/README.md) | [จีน (ตัวย่อ)](../zh/README.md) | [จีน (ตัวเต็ม, ฮ่องกง)](../hk/README.md) | [จีน (ตัวเต็ม, มาเก๊า)](../mo/README.md) | [จีน (ตัวเต็ม, ไต้หวัน)](../tw/README.md) | [โครเอเชีย](../hr/README.md) | [เช็ก](../cs/README.md) | [เดนมาร์ก](../da/README.md) | [ดัตช์](../nl/README.md) | [เอสโตเนีย](../et/README.md) | [ฟินแลนด์](../fi/README.md) | [ฝรั่งเศส](../fr/README.md) | [เยอรมัน](../de/README.md) | [กรีก](../el/README.md) | [ฮีบรู](../he/README.md) | [ฮินดี](../hi/README.md) | [ฮังการี](../hu/README.md) | [อินโดนีเซีย](../id/README.md) | [อิตาเลียน](../it/README.md) | [ญี่ปุ่น](../ja/README.md) | [คันนาดา](../kn/README.md) | [เกาหลี](../ko/README.md) | [ลิทัวเนีย](../lt/README.md) | [มลายู](../ms/README.md) | [มาลายาลัม](../ml/README.md) | [มราฐี](../mr/README.md) | [เนปาลี](../ne/README.md) | [ไนจีเรีย พิดจิน](../pcm/README.md) | [นอร์เวย์](../no/README.md) | [เปอร์เซีย (ฟาร์ซี)](../fa/README.md) | [โปแลนด์](../pl/README.md) | [โปรตุเกส (บราซิล)](../br/README.md) | [โปรตุเกส (โปรตุเกส)](../pt/README.md) | [ปัญจาบ (Gurmukhi)](../pa/README.md) | [โรมาเนีย](../ro/README.md) | [รัสเซีย](../ru/README.md) | [เซอร์เบีย (คีริลลิก)](../sr/README.md) | [สโลวัก](../sk/README.md) | [สโลวีเนีย](../sl/README.md) | [สเปน](../es/README.md) | [สวาฮีลี](../sw/README.md) | [สวีเดน](../sv/README.md) | [ตากาล็อก (ฟิลิปปินส์)](../tl/README.md) | [ทมิฬ](../ta/README.md) | [เตลูกู](../te/README.md) | [ไทย](./README.md) | [ตุรกี](../tr/README.md) | [ยูเครน](../uk/README.md) | [อูรดู](../ur/README.md) | [เวียดนาม](../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](./README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) + +> **ต้องการโคลนแบบโลคอล?** + +> รีโพสิโทรี่นี้มีการแปลภาษากว่า 50 ภาษา ซึ่งเพิ่มขนาดดาวน์โหลดอย่างมาก เพื่อโคลนโดยไม่ต้องดาวน์โหลดการแปล ให้ใช้ 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' +> ``` +> วิธีนี้จะให้ทุกอย่างที่คุณต้องการในการเรียนหลักสูตรโดยดาวน์โหลดได้รวดเร็วขึ้นมาก -**หากคุณต้องการให้มีการแปลภาษาเพิ่มเติม รายชื่อภาษาที่รองรับอยู่ [ที่นี่](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**หากคุณต้องการให้รองรับภาษาการแปลเพิ่มเติม รายการภาษาที่รองรับอยู่ [ที่นี่](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## เข้าร่วมชุมชน -[![Discord ของ 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) ## สิ่งที่คุณจะได้เรียนรู้ @@ -48,139 +58,139 @@ CO_OP_TRANSLATOR_METADATA: ในหลักสูตรนี้ คุณจะได้เรียนรู้: -* แนวทางต่างๆ ของปัญญาประดิษฐ์ รวมถึงแนวทางเชิงสัญลักษณ์แบบคลาสสิกที่มี **การแทนความรู้** และการให้เหตุผล ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **โครงข่ายประสาทเทียม** และ **การเรียนรู้เชิงลึก** ซึ่งเป็นหัวใจของ AI สมัยใหม่ เราจะแสดงแนวคิดเบื้องหลังหัวข้อสำคัญเหล่านี้ด้วยโค้ดในสองเฟรมเวิร์กยอดนิยม - [TensorFlow](http://Tensorflow.org) และ [PyTorch](http://pytorch.org). -* **สถาปัตยกรรมเครือข่ายประสาท** สำหรับการทำงานกับภาพและข้อความ เราจะครอบคลุมโมเดลล่าสุดแต่บางส่วนอาจไม่ได้ทันสมัยที่สุด -* แนวทาง AI ที่ไม่เป็นที่นิยมเท่า เช่น **อัลกอริทึมเชิงพันธุกรรม** และ **ระบบหลายตัวแทน** +* แนวทางต่าง ๆ ของปัญญาประดิษฐ์ รวมถึงวิธีเชิงสัญลักษณ์ “เก่าแต่เก๋า” กับ **การแทนความรู้** และการอนุมาน ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)) +* **โครงข่ายประสาทเทียม** และ **การเรียนรู้เชิงลึก** ซึ่งเป็นแกนหลักของ AI สมัยใหม่ เราจะอธิบายแนวคิดเบื้องหลังหัวข้อสำคัญเหล่านี้โดยใช้โค้ดในสองเฟรมเวิร์กยอดนิยมคือ [TensorFlow](http://Tensorflow.org) และ [PyTorch](http://pytorch.org) +* **สถาปัตยกรรมโครงข่ายประสาทเทียม** สำหรับการทำงานกับภาพและข้อความ เราจะครอบคลุมโมเดลล่าสุดแต่บางส่วนอาจยังไม่เป็น state-of-the-art +* แนวทาง AI ที่ไม่ค่อยเป็นที่นิยม เช่น **อัลกอริทึมทางพันธุกรรม** และ **ระบบหลายตัวแทน** -สิ่งที่เราไม่ได้ครอบคลุมในหลักสูตรนี้: +สิ่งที่เราไม่ครอบคลุมในหลักสูตรนี้: -> [ค้นหาทรัพยากรเพิ่มเติมสำหรับหลักสูตรนี้ในคอลเล็กชัน Microsoft Learn ของเรา](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [ค้นหาทรัพยากรเพิ่มเติมสำหรับหลักสูตรนี้ในคอลเลกชัน Microsoft Learn ของเรา](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* กรณีธุรกิจของการใช้ **AI ในธุรกิจ** พิจารณาเรียนเส้นทางการเรียนรู้ [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) บน Microsoft Learn หรือ [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) ซึ่งพัฒนาร่วมกับ [INSEAD](https://www.insead.edu/). -* **การเรียนรู้ของเครื่องแบบคลาสสิก** ซึ่งอธิบายไว้อย่างดีใน [หลักสูตร Machine Learning for Beginners ของเรา](http://github.com/Microsoft/ML-for-Beginners). -* แอปพลิเคชัน AI เชิงปฏิบัติที่สร้างด้วย **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** สำหรับเรื่องนี้ เราแนะนำให้คุณเริ่มจากโมดูล Microsoft Learn สำหรับ [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)** และอื่นๆ -* **เฟรมเวิร์กคลาวด์สำหรับ ML เฉพาะทาง** เช่น [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) หรือ [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). พิจารณาใช้เส้นทางการเรียนรู้ [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) และ [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **AI แบบโต้ตอบ** และ **แชทบอท** มีเส้นทางการเรียนรู้แยกต่างหาก [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) และคุณยังสามารถอ้างอิงจาก [บล็อกโพสต์นี้](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) สำหรับรายละเอียดเพิ่มเติม -* **คณิตศาสตร์เชิงลึก** ที่อยู่เบื้องหลังการเรียนรู้เชิงลึก สำหรับเรื่องนี้ เราแนะนำหนังสือ [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) โดย Ian Goodfellow, Yoshua Bengio และ Aaron Courville ซึ่งยังมีให้ใช้ออนไลน์ที่ [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) +* กรณีธุรกิจการใช้ **AI ในธุรกิจ** พิจารณาเรียนเส้นทาง [แนะนำ AI สำหรับผู้ใช้ธุรกิจ](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) บน Microsoft Learn หรือ [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) ซึ่งพัฒนาร่วมกับ [INSEAD](https://www.insead.edu/) +* **Machine Learning คลาสสิก** ที่อธิบายอย่างดีใน [หลักสูตร Machine Learning สำหรับผู้เริ่มต้น](http://github.com/Microsoft/ML-for-Beginners) +* แอปพลิเคชัน AI เชิงปฏิบัติที่สร้างด้วย **[บริการ Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** สำหรับเรื่องนี้เราแนะนำให้เริ่มจากโมดูลใน Microsoft Learn เกี่ยวกับ [การมองเห็น](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [การประมวลผลภาษาธรรมชาติ](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI ด้วย Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** และอื่น ๆ +* เฟรมเวิร์ก **ML บนคลาวด์โดยเฉพาะ** เช่น [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) หรือ [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum) แนะนำเส้นทางการเรียนรู้ [สร้างและดำเนินการแก้ปัญหา machine learning ด้วย Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) และ [สร้างและดำเนินการแก้ปัญหา machine learning ด้วย Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) +* **AI สนทนา** และ **แชทบอท** มีเส้นทางการเรียนรู้แยกเฉพาะ [สร้างโซลูชัน AI สนทนา](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) และคุณยังสามารถดู [โพสต์บล็อกนี้](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) เพื่อรายละเอียดเพิ่มเติม +* **คณิตศาสตร์ลึก** เบื้องหลังการเรียนรู้เชิงลึก สำหรับเรื่องนี้ เราแนะนำหนังสือ [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) โดย Ian Goodfellow, Yoshua Bengio และ Aaron Courville ซึ่งก็มีให้บริการออนไลน์ที่ [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) -สำหรับการแนะนำอย่างนุ่มนวลเกี่ยวกับหัวข้อ _AI บนคลาวด์_ คุณอาจพิจารณาเรียนเส้นทางการเรียนรู้ [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) +สำหรับการแนะนำแบบนุ่มนวลเกี่ยวกับหัวข้อ _AI บนคลาวด์_ คุณอาจพิจารณาเรียนเส้นทาง [เริ่มต้นกับปัญญาประดิษฐ์บน Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) # เนื้อหา -| | ลิงก์บทเรียน | PyTorch/Keras/TensorFlow | Lab | +| | ลิงก์บทเรียน | PyTorch/Keras/TensorFlow | ห้องปฏิบัติการ | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [การตั้งค่าหลักสูตร](./lessons/0-course-setup/setup.md) | [ตั้งค่าสภาพแวดล้อมการพัฒนา](./lessons/0-course-setup/how-to-run.md) | | -| I | [**บทนำสู่ AI**](./lessons/1-Intro/README.md) | | | -| 01 | [บทนำและประวัติของ AI](./lessons/1-Intro/README.md) | - | - | +| 0 | [ตั้งค่าหลักสูตร](./lessons/0-course-setup/setup.md) | [ตั้งค่าสภาพแวดล้อมสำหรับพัฒนา](./lessons/0-course-setup/how-to-run.md) | | +| I | [**แนะนำ AI**](./lessons/1-Intro/README.md) | | | +| 01 | [แนะนำและประวัติของ AI](./lessons/1-Intro/README.md) | - | - | | II | **AI เชิงสัญลักษณ์** | -| 02 | [การแทนความรู้และระบบผู้เชี่ยวชาญ](./lessons/2-Symbolic/README.md) | [ระบบผู้เชี่ยวชาญ](./lessons/2-Symbolic/Animals.ipynb) / [ออนโทโลยี](./lessons/2-Symbolic/FamilyOntology.ipynb) /[กราฟแนวคิด](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**บทนำสู่โครงข่ายประสาทเทียม**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [เปอร์เซปตรอน](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [โน้ตบุ๊ก](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [แล็บ](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [เปอร์เซปตรอนหลายชั้นและการสร้างเฟรมเวิร์กของเราเอง](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [โน้ตบุ๊ก](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [แล็บ](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [บทนำสู่เฟรมเวิร์ก (PyTorch/TensorFlow) และปัญหา 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) | [แล็บ](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**การมองเห็นด้วยคอมพิวเตอร์**](./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)| [สำรวจการมองเห็นด้วยคอมพิวเตอร์บน Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [บทนำสู่การมองเห็นด้วยคอมพิวเตอร์. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [โน้ตบุ๊ก](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [แล็บ](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [เครือข่ายประสาทแบบคอนโวลูชัน](./lessons/4-ComputerVision/07-ConvNets/README.md) & [สถาปัตยกรรม 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) | [แล็บ](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [เครือข่ายที่ถูกฝึกมาก่อนและการเรียนรู้แบบถ่ายโอน](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [เทคนิคการฝึก](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [แล็บ](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [ออโต้เอนโค้ดเดอร์และ 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 | [เครือข่ายปฏิปักษ์เชิงกำเนิด และการถ่ายโอนสไตล์เชิงศิลป์](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [การตรวจจับวัตถุ](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [แล็บ](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | -| 12 | [การแบ่งส่วนเชิงความหมาย และ 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 | [**การประมวลผลภาษาธรรมชาติ**](./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) | [สำรวจการประมวลผลภาษาธรรมชาติบน Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [การแทนข้อความ: 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 | [การฝังคำเชิงความหมาย: Word2Vec และ 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 | [การสร้างแบบจำลองภาษา และการฝึก embedding ของคุณเอง](./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) | [แล็บ](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [เครือข่ายประสาทแบบวนซ้ำ](./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 | [เครือข่ายวนซ้ำเชิงกำเนิด](./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) | [แล็บ](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | -| 18 | [Transformers และ 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 | [การจำแนกเอนทิตีที่มีชื่อ](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [แล็บ](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [โมเดลภาษาใหญ่ การเขียนโปรแกรมด้วยพรอมต์ และงานแบบ Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **เทคนิค AI อื่นๆ** || | -| 21 | [อัลกอริทึมทางพันธุกรรม](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [โน้ตบุ๊ก](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [การเรียนรู้เสริมเชิงลึก](./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) | [แล็บ](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [ระบบหลายตัวแทน](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **จริยธรรม AI** | | | -| 24 | [จริยธรรม AI และ AI ที่รับผิดชอบ](./lessons/7-Ethics/README.md) | [Microsoft Learn: หลักการ AI ที่รับผิดชอบ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | **เพิ่มเติม** | | | -| 25 | [เครือข่ายมัลติ-โมดอล, CLIP และ VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [โน้ตบุ๊ก](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 02 | [การแทนความรู้และระบบผู้เชี่ยวชาญ](./lessons/2-Symbolic/README.md) | [ระบบผู้เชี่ยวชาญ](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**แนะนำโครงข่ายประสาทเทียม**](./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 | [**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)| [Explore Computer Vision on Microsoft Azure](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) | [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) | [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) | [Explore Natural Language Processing on Microsoft Azure](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) | | +| 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) | [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) | [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) | [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) | [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) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [Multi-Agent Systems](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| VII | **AI Ethics** | | | +| 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) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## แต่ละบทเรียนประกอบด้วย -* เอกสารอ่านก่อนเรียน -* ไฟล์ Jupyter Notebook ที่สามารถรันได้ ซึ่งมักจะระบุเฉพาะสำหรับเฟรมเวิร์ก (**PyTorch** หรือ **TensorFlow**). ไฟล์โน้ตบุ๊กที่สามารถรันได้ยังมีเนื้อหาทฤษฎีจำนวนมาก ดังนั้นเพื่อจะเข้าใจหัวข้อ คุณจำเป็นต้องอ่านหรือทำอย่างน้อยหนึ่งเวอร์ชันของโน้ตบุ๊ก (ไม่ว่าจะเป็น PyTorch หรือ TensorFlow). -* **Labs** มีให้สำหรับบางหัวข้อ ซึ่งให้โอกาสคุณทดลองนำเนื้อหาที่เรียนไปประยุกต์กับปัญหาเฉพาะ -* บางส่วนมีลิงก์ไปยังโมดูลของ [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ที่ครอบคลุมหัวข้อที่เกี่ยวข้อง. +* เนื้อหาการอ่านล่วงหน้า +* Jupyter Notebooks ที่สามารถรันได้ ซึ่งมักจะเฉพาะเจาะจงกับเฟรมเวิร์ก (**PyTorch** หรือ **TensorFlow**) โน๊ตบุ๊กรันได้ยังประกอบด้วยเนื้อหาทฤษฎีมากมาย เพื่อให้เข้าใจหัวข้อควรผ่านเวอร์ชันใดเวอร์ชันหนึ่งของโน๊ตบุ๊ก (ไม่ว่าจะเป็น PyTorch หรือ TensorFlow) +* **แลบ** สำหรับบางหัวข้อ ซึ่งเปิดโอกาสให้คุณได้ลองใช้เนื้อหาที่เรียนมาแก้ปัญหาเฉพาะ +* บางส่วนมีลิงก์ไปยังโมดูล [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ที่ครอบคลุมหัวข้อที่เกี่ยวข้อง -## การเริ่มต้น +## การเริ่มต้นใช้งาน ### 🎯 ใหม่กับ AI? เริ่มที่นี่! -หากคุณเป็นผู้เริ่มต้นกับ AI และต้องการตัวอย่างแบบลงมือปฏิบัติอย่างรวดเร็ว ให้ดูที่ [**ตัวอย่างสำหรับผู้เริ่มต้น**](./examples/README.md)! ตัวอย่างเหล่านี้รวมถึง: +ถ้าคุณยังใหม่กับ AI และต้องการตัวอย่างใช้งานจริงแบบรวดเร็ว ลองดูที่ [**ตัวอย่างสำหรับผู้เริ่มต้น**](./examples/README.md)! ซึ่งมีดังนี้: -- 🌟 **Hello AI World** - โปรแกรม AI แรกของคุณ (การรู้จำรูปแบบ) -- 🧠 **Simple Neural Network** - สร้างเครือข่ายประสาทเทียมจากศูนย์ -- 🖼️ **Image Classifier** - จำแนกภาพพร้อมคำอธิบายโดยละเอียด -- 💬 **การวิเคราะห์ความรู้สึกของข้อความ** - วิเคราะห์ข้อความเชิงบวก/เชิงลบ +- 🌟 **Hello AI World** - โปรแกรม AI แรกของคุณ (การจดจำรูปแบบ) +- 🧠 **Simple Neural Network** - สร้างโครงข่ายประสาทเทียมจากศูนย์ +- 🖼️ **Image Classifier** - จำแนกรูปภาพพร้อมคำอธิบายละเอียด +- 💬 **การวิเคราะห์อารมณ์ข้อความ** - วิเคราะห์ข้อความเชิงบวก/เชิงลบ -ตัวอย่างเหล่านี้ออกแบบมาเพื่อช่วยให้คุณเข้าใจแนวคิด AI ก่อนที่จะลงลึกในหลักสูตรเต็ม +ตัวอย่างเหล่านี้ถูกออกแบบมาเพื่อช่วยให้คุณเข้าใจแนวคิด AI ก่อนที่จะเริ่มเรียนหลักสูตรทั้งหมด -### 📚 การตั้งค่าหลักสูตรทั้งหมด +### 📚 การตั้งค่าหลักสูตรเต็ม -- เราได้สร้าง a [บทเรียนการติดตั้ง](./lessons/0-course-setup/setup.md) เพื่อช่วยคุณในการตั้งค่าสภาพแวดล้อมการพัฒนา. - สำหรับผู้สอน เราได้สร้าง a [บทเรียนการตั้งค่าหลักสูตร](./lessons/0-course-setup/for-teachers.md) ให้คุณด้วย! -- วิธี [เรียกใช้โค้ดใน VSCode หรือ a Codepace](./lessons/0-course-setup/how-to-run.md) +- เราได้สร้าง [บทเรียนการตั้งค่า](./lessons/0-course-setup/setup.md) เพื่อช่วยคุณในการตั้งค่าสภาพแวดล้อมพัฒนา - สำหรับผู้สอน เราได้สร้าง [บทเรียนการตั้งค่าหลักสูตร](./lessons/0-course-setup/for-teachers.md) สำหรับคุณด้วย! +- วิธี [รันโค้ดใน VSCode หรือ Codepace](./lessons/0-course-setup/how-to-run.md) -Follow these steps: +ทำตามขั้นตอนเหล่านี้: -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +Fork Repository: คลิกที่ปุ่ม "Fork" ที่มุมบนขวาของหน้านี้ -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Clone Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +อย่าลืมกดดาว (🌟) repo นี้เพื่อให้ค้นหาได้ง่ายขึ้นในภายหลัง -## พบผู้เรียนคนอื่นๆ +## พบปะผู้เรียนคนอื่นๆ -เข้าร่วม [เซิร์ฟเวอร์ Discord อย่างเป็นทางการของ AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) เพื่อพบปะและสร้างเครือข่ายกับผู้เรียนคนอื่นๆ ที่เรียนหลักสูตรนี้และขอรับการสนับสนุน. +เข้าร่วม [เซิร์ฟเวอร์ Discord AI อย่างเป็นทางการ](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) เพื่อพบปะและสร้างเครือข่ายกับผู้เรียนคนอื่นๆ ที่เรียนคอร์สนี้และรับการสนับสนุน -หากคุณมีคำติชมเกี่ยวกับผลิตภัณฑ์หรือคำถามในระหว่างการพัฒนา ให้ไปที่ [ฟอรัมผู้พัฒนา Azure AI Foundry](https://aka.ms/foundry/forum) +หากคุณมีคำติชมเกี่ยวกับผลิตภัณฑ์หรือคำถามขณะสร้าง กรุณาเยี่ยมชม [ฟอรั่มนักพัฒนา Azure AI Foundry](https://aka.ms/foundry/forum) -## แบบทดสอบ +## แบบทดสอบ -> **หมายเหตุเกี่ยวกับแบบทดสอบ**: แบบทดสอบทั้งหมดถูกรวมอยู่ในโฟลเดอร์ Quiz-app ภายใน etc\quiz-app, หรือ [ออนไลน์ที่นี่](https://ff-quizzes.netlify.app/) พวกมันถูกลิงก์จากภายในบทเรียน แอปแบบทดสอบสามารถรันได้ในเครื่องหรือปรับใช้ไปยัง Azure; ทำตามคำแนะนำในโฟลเดอร์ `quiz-app` พวกมันกำลังทยอยถูกแปล +> **หมายเหตุเกี่ยวกับแบบทดสอบ**: แบบทดสอบทั้งหมดอยู่ในโฟลเดอร์ Quiz-app ที่ etc\quiz-app หรือ [ออนไลน์ที่นี่](https://ff-quizzes.netlify.app/) แบบทดสอบถูกลิงก์จากภายในบทเรียน แอปแบบทดสอบสามารถรันได้ในเครื่องหรือปรับใช้บน Azure; ทำตามคำแนะนำในโฟลเดอร์ `quiz-app` แบบทดสอบกำลังถูกแปลเป็นภาษาต่าง ๆ อย่างค่อยเป็นค่อยไป -## ต้องการความช่วยเหลือ +## ขอความช่วยเหลือ -คุณมีข้อเสนอแนะหรือพบข้อผิดพลาดด้านการสะกดคำหรือตัวโค้ดหรือไม่? เปิด issue หรือสร้าง pull request. +คุณมีคำแนะนำหรือพบข้อผิดพลาดการสะกดหรือโค้ดไหม? กรุณาเปิด issue หรือตั้ง pull request -## ขอบคุณเป็นพิเศษ +## ขอบคุณพิเศษ * **✍️ ผู้เขียนหลัก:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 บรรณาธิการ:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 ผู้วาดสเก็ตช์โน้ต:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **🔥 ผู้แก้ไข:** [Jen Looper](https://twitter.com/jenlooper), PhD +* **🎨 นักวาดภาพสเก็ตช์:** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ ผู้สร้างแบบทดสอบ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) * **🙏 ผู้ร่วมพัฒนาหลัก:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## หลักสูตรอื่นๆ +## หลักสูตรอื่น ๆ -ทีมของเราจัดทำหลักสูตรอื่นๆ! ดูได้ที่: +ทีมของเรายังผลิตหลักสูตรอื่นๆ! ดูได้ที่: ### LangChain -[![LangChain4j สำหรับผู้เริ่มต้น](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 สำหรับผู้เริ่มต้น](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 สำหรับผู้เริ่มต้น](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 สำหรับผู้เริ่มต้น](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 สำหรับผู้เริ่มต้น](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 สำหรับผู้เริ่มต้น](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 Series -[![Generative AI สำหรับผู้เริ่มต้น](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 for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) [![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) @@ -188,35 +198,35 @@ Don't forget to star (🌟) this repo to find it easier later. --- ### การเรียนรู้หลัก -[![ML สำหรับผู้เริ่มต้น](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 สำหรับผู้เริ่มต้น](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 สำหรับผู้เริ่มต้น](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 สำหรับผู้เริ่มต้น](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 สำหรับผู้เริ่มต้น](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 สำหรับผู้เริ่มต้น](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 สำหรับผู้เริ่มต้น](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) --- -### ชุด Copilot -[![Copilot สำหรับการเขียนโปรแกรมคู่กับ 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 สำหรับ 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) +### ชุดเรียน Copilot +[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) [![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) -## การขอความช่วยเหลือ +## ขอความช่วยเหลือ -หากคุณติดขัดหรือมีคำถามเกี่ยวกับการสร้างแอป AI เข้าร่วมกับผู้เรียนคนอื่นๆ และนักพัฒนาที่มีประสบการณ์ในการอภิปรายเกี่ยวกับ MCP ชุมชนนี้ให้การสนับสนุนโดยยินดีต้อนรับคำถามและแบ่งปันความรู้กันอย่างเสรี +หากคุณติดขัดหรือมีคำถามเกี่ยวกับการสร้างแอป AI เข้าร่วมพูดคุยกับผู้เรียนและนักพัฒนาที่มีประสบการณ์เกี่ยวกับ MCP นี่คือชุมชนที่สนับสนุนซึ่งเปิดรับคำถามและแบ่งปันความรู้กันอย่างอิสระ -[![Discord ของ 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) -หากคุณมีคำติชมเกี่ยวกับผลิตภัณฑ์หรือข้อผิดพลาดในขณะสร้าง โปรดไปที่: +หากคุณมีคำติชมผลิตภัณฑ์หรือพบข้อผิดพลาดขณะสร้าง โปรดเยี่ยมชม: -[![ฟอรัมผู้พัฒนา 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) --- -ข้อจำกัดความรับผิดชอบ: -เอกสารฉบับนี้ถูกแปลโดยใช้บริการแปลด้วย AI [Co-op Translator](https://github.com/Azure/co-op-translator) แม้เราจะพยายามให้การแปลมีความถูกต้อง โปรดทราบว่าการแปลอัตโนมัติอาจมีข้อผิดพลาดหรือความคลาดเคลื่อนได้ เอกสารต้นฉบับในภาษาต้นทางควรถือเป็นแหล่งข้อมูลหลัก หากเป็นข้อมูลที่สำคัญ ขอแนะนำให้ใช้การแปลโดยนักแปลมืออาชีพ เราไม่รับผิดชอบต่อความเข้าใจผิดหรือการตีความผิดที่เกิดจากการใช้การแปลฉบับนี้ +**ข้อจำกัดความรับผิดชอบ**: +เอกสารฉบับนี้ได้รับการแปลโดยใช้บริการแปลภาษา AI [Co-op Translator](https://github.com/Azure/co-op-translator) แม้เราจะพยายามให้ความถูกต้องสูงสุด แต่โปรดทราบว่าการแปลโดยอัตโนมัติอาจมีข้อผิดพลาดหรือความคลาดเคลื่อน เอกสารต้นฉบับในภาษาต้นทางถือเป็นแหล่งข้อมูลที่เป็นทางการที่สุด สำหรับข้อมูลสำคัญแนะนำให้ใช้บริการแปลโดยมืออาชีพที่เป็นมนุษย์ เราจะไม่รับผิดชอบต่อความเข้าใจผิดหรือการตีความผิดที่เกิดจากการใช้การแปลนี้ \ No newline at end of file