chore(i18n): sync translations with latest source changes (chunk 1/1, 6 files)
This commit is contained in:
localizeflow[bot]
parent
dc8bc0f2c1
commit
09d5df0af7
|
|
@ -1,75 +1,84 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "14816e97d79b296c87811724f7785923",
|
||||
"translation_date": "2026-01-01T11:27:30+00:00",
|
||||
"original_hash": "0dc6311637b811abb415a936669d7e76",
|
||||
"translation_date": "2026-01-05T15:16:48+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "br"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Inteligência Artificial para Iniciantes - Um Currículo
|
||||
|
||||
||
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _Sketchnote por [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Explore o mundo de **Inteligência Artificial** (IA) com nosso currículo de 12 semanas e 24 aulas! Inclui aulas práticas, questionários e laboratórios. O currículo é voltado para iniciantes e abrange ferramentas como TensorFlow e PyTorch, além de ética em IA
|
||||
|
||||
Explore o mundo da **Inteligência Artificial** (IA) com nosso currículo de 12 semanas e 24 aulas! Inclui aulas práticas, questionários e laboratórios. O currículo é amigável para iniciantes e cobre ferramentas como TensorFlow e PyTorch, além de ética em IA.
|
||||
|
||||
### 🌐 Suporte Multilíngue
|
||||
|
||||
#### Suportado via GitHub Action (Automatizado e Sempre Atualizado)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Árabe](../ar/README.md) | [Bengalês](../bn/README.md) | [Búlgaro](../bg/README.md) | [Birmanês (Myanmar)](../my/README.md) | [Chinês (Simplificado)](../zh/README.md) | [Chinês (Tradicional, Hong Kong)](../hk/README.md) | [Chinês (Tradicional, Macau)](../mo/README.md) | [Chinês (Tradicional, Taiwan)](../tw/README.md) | [Croata](../hr/README.md) | [Tcheco](../cs/README.md) | [Dinamarquês](../da/README.md) | [Holandês](../nl/README.md) | [Estoniano](../et/README.md) | [Finlandês](../fi/README.md) | [Francês](../fr/README.md) | [Alemão](../de/README.md) | [Grego](../el/README.md) | [Hebraico](../he/README.md) | [Hindi](../hi/README.md) | [Húngaro](../hu/README.md) | [Indonésio](../id/README.md) | [Italiano](../it/README.md) | [Japonês](../ja/README.md) | [Kannada](../kn/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malaio](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Pidgin Nigeriano](../pcm/README.md) | [Norueguês](../no/README.md) | [Persa (Farsi)](../fa/README.md) | [Polonês](../pl/README.md) | [Português (Brasil)](./README.md) | [Português (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romeno](../ro/README.md) | [Russo](../ru/README.md) | [Sérvio (Cirílico)](../sr/README.md) | [Eslovaco](../sk/README.md) | [Esloveno](../sl/README.md) | [Espanhol](../es/README.md) | [Suaíli](../sw/README.md) | [Sueco](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tâmil](../ta/README.md) | [Telugu](../te/README.md) | [Tailandês](../th/README.md) | [Turco](../tr/README.md) | [Ucraniano](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md)
|
||||
[Árabe](../ar/README.md) | [Bengali](../bn/README.md) | [Búlgaro](../bg/README.md) | [Birmanês (Myanmar)](../my/README.md) | [Chinês (Simplificado)](../zh/README.md) | [Chinês (Tradicional, Hong Kong)](../hk/README.md) | [Chinês (Tradicional, Macau)](../mo/README.md) | [Chinês (Tradicional, Taiwan)](../tw/README.md) | [Croata](../hr/README.md) | [Tcheco](../cs/README.md) | [Dinamarquês](../da/README.md) | [Holandês](../nl/README.md) | [Estoniano](../et/README.md) | [Finlandês](../fi/README.md) | [Francês](../fr/README.md) | [Alemão](../de/README.md) | [Grego](../el/README.md) | [Hebraico](../he/README.md) | [Hindi](../hi/README.md) | [Húngaro](../hu/README.md) | [Indonésio](../id/README.md) | [Italiano](../it/README.md) | [Japonês](../ja/README.md) | [Kannada](../kn/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malaio](../ms/README.md) | [Malaiala](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Pidgin Nigeriano](../pcm/README.md) | [Norueguês](../no/README.md) | [Persa (Farsi)](../fa/README.md) | [Polonês](../pl/README.md) | [Português (Brasil)](./README.md) | [Português (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romeno](../ro/README.md) | [Russo](../ru/README.md) | [Sérvio (Cirílico)](../sr/README.md) | [Eslovaco](../sk/README.md) | [Esloveno](../sl/README.md) | [Espanhol](../es/README.md) | [Suaíli](../sw/README.md) | [Sueco](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Tailandês](../th/README.md) | [Turco](../tr/README.md) | [Ucraniano](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md)
|
||||
|
||||
> **Prefere Clonar Localmente?**
|
||||
|
||||
> Este repositório inclui mais de 50 traduções de idiomas, o que aumenta significativamente o tamanho do download. Para clonar sem as traduções, use o 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'
|
||||
> ```
|
||||
> Isso lhe dá tudo que você precisa para completar o curso com um download muito mais rápido.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Se você deseja que idiomas adicionais sejam suportados, eles estão listados [aqui](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Se desejar adicionar suporte para mais idiomas de tradução, estão listados [aqui](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Junte-se à Comunidade
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## O que você aprenderá
|
||||
## O que você vai aprender
|
||||
|
||||
**[Mapa Mental do Curso](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Neste currículo, você aprenderá:
|
||||
Neste currículo, você irá aprender:
|
||||
|
||||
* Diferentes abordagens de Inteligência Artificial, incluindo a abordagem simbólica "da velha guarda" com **Representação do Conhecimento** e raciocínio ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Redes Neurais** e **Deep Learning** (Aprendizado Profundo), que estão no núcleo da IA moderna. Vamos ilustrar os conceitos por trás desses tópicos importantes usando código em dois dos frameworks mais populares - [TensorFlow](http://Tensorflow.org) e [PyTorch](http://pytorch.org).
|
||||
* **Arquiteturas Neurais** para trabalhar com imagens e texto. Cobriremos modelos recentes, mas podemos estar um pouco defasados em relação ao estado da arte.
|
||||
* Abordagens de IA menos populares, como **Algoritmos Genéticos** e **Sistemas Multiagente**.
|
||||
* Diferentes abordagens para Inteligência Artificial, incluindo a "boa e velha" abordagem simbólica com **Representação do Conhecimento** e raciocínio ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Redes Neurais** e **Aprendizado Profundo**, que estão no centro da IA moderna. Ilustraremos os conceitos por trás desses tópicos importantes usando código em dois dos frameworks mais populares - [TensorFlow](http://Tensorflow.org) e [PyTorch](http://pytorch.org).
|
||||
* **Arquiteturas Neurais** para trabalhar com imagens e texto. Cobriremos modelos recentes, mas talvez com poucas novidades em relação ao estado da arte.
|
||||
* Abordagens menos populares de IA, como **Algoritmos Genéticos** e **Sistemas Multiagentes**.
|
||||
|
||||
O que não cobriremos neste currículo:
|
||||
O que não será coberto neste currículo:
|
||||
|
||||
> [Encontre todos os recursos adicionais para este curso em nossa coleção Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Encontre todos os recursos adicionais para este curso na nossa coleção Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Casos de uso empresariais de **IA nos Negócios**. Considere fazer o caminho de aprendizado [Introdução à IA para usuários de negócios](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) no Microsoft Learn, ou [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), desenvolvido em cooperação com [INSEAD](https://www.insead.edu/).
|
||||
* **Machine Learning Clássico**, que é bem descrito em nosso [Currículo de Machine Learning para Iniciantes](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Aplicações práticas de IA construídas usando **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Para isso, recomendamos que você comece pelos módulos do Microsoft Learn para [visão](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [processamento de linguagem natural](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)** e outros.
|
||||
* Frameworks de ML específicos de **Nuvem**, como [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), ou [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Considere usar os caminhos de aprendizado [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) e [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).
|
||||
* **IA Conversacional** e **Chat Bots**. Há um caminho de aprendizado separado [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), e você também pode consultar [este post do blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) para mais detalhes.
|
||||
* **Matemática Avançada** por trás do deep learning. Para isso, recomendamos [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) de Ian Goodfellow, Yoshua Bengio e Aaron Courville, que também está disponível online em [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Casos de negócios do uso de **IA nos Negócios**. Considere fazer o caminho de aprendizado [Introdução à IA para usuários de negócios](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn, ou a [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), desenvolvida em cooperação com a [INSEAD](https://www.insead.edu/).
|
||||
* **Aprendizado de Máquina Clássico**, que está bem descrito no nosso [Currículo de Aprendizado de Máquina para Iniciantes](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Aplicações práticas de IA construídas usando **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Para isso, recomendamos começar com módulos da Microsoft Learn para [visão](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [processamento de linguagem natural](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[IA Generativa com Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** e outros.
|
||||
* **Frameworks de Nuvem específicos para ML**, como [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), ou [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Considere usar os caminhos de aprendizado [Construir e operar soluções de aprendizado de máquina com Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) e [Construir e operar soluções de aprendizado de máquina com Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **IA Conversacional** e **Chat Bots**. Existe um caminho de aprendizado separado [Criar soluções de IA conversacional](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), e você também pode consultar [este post no blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) para mais detalhes.
|
||||
* **Matemática Profunda** por trás do aprendizado profundo. Para isso, recomendamos [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) de Ian Goodfellow, Yoshua Bengio e Aaron Courville, que também está disponível online em [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Para uma introdução suave aos tópicos de _IA na Nuvem_ você pode considerar fazer o caminho de aprendizado [Comece com inteligência artificial no Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
Para uma introdução suave aos tópicos de _IA na Nuvem_, você pode considerar cursar o caminho de aprendizado [Começando com inteligência artificial no Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Conteúdo
|
||||
|
||||
| | Link da Aula | PyTorch/Keras/TensorFlow | Laboratório |
|
||||
| | Link da Aula | PyTorch/Keras/TensorFlow | Laboratório |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Configuração do Curso](./lessons/0-course-setup/setup.md) | [Configure seu Ambiente de Desenvolvimento](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Introdução à IA**](./lessons/1-Intro/README.md) | | |
|
||||
|
|
@ -77,88 +86,88 @@ Para uma introdução suave aos tópicos de _IA na Nuvem_ você pode considerar
|
|||
| II | **IA Simbólica** |
|
||||
| 02 | [Representação do Conhecimento e Sistemas Especialistas](./lessons/2-Symbolic/README.md) | [Sistemas Especialistas](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Grafo de Conceitos](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Introdução às Redes Neurais**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratório](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Perceptron Multicamadas e Criando nosso próprio Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratório](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Introdução a Frameworks (PyTorch/TensorFlow) e Sobreajuste](./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) | [Laboratório](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Visão Computacional**](./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 Visão Computacional no Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Introdução à Visão Computacional. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratório](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Redes Neurais Convolucionais](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arquiteturas de 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) | [Laboratório](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Redes Pré-treinadas e Transferência de Aprendizado](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Dicas de Treinamento](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratório](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Perceptron Multicamadas e Criando nosso próprio 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 | [Introdução a Frameworks (PyTorch/TensorFlow) e 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 | [**Visão Computacional**](./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 a Visão Computacional no Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Introdução à Visão Computacional. 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 | [Redes Neurais Convolucionais](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arquiteturas CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Redes Pré-treinadas e Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) e [Dicas de Treinamento](./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 e 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 | [Redes Gerativas Adversariais & Transferência de Estilo Artístico](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Detecção de Objetos](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratório](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 10 | [Redes Generativas Adversariais & Transferência de Estilo Artístico](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Detecção de Objetos](./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 | [Segmentação Semântica. 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 | [**Processamento de Linguagem Natural**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Explore Processamento de Linguagem Natural no Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Representação de Texto. 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) | |
|
||||
| 13 | [Representação de Texto. 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 | [Embeddings semânticos de palavras. Word2Vec e 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 | [Modelagem de Linguagem. Treinando seus próprios 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) | [Laboratório](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 15 | [Modelagem de Linguagem. Treinando seus próprios 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 | [Redes Neurais Recorrentes](./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 | [Redes Recorrentes Gerativas](./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) | [Laboratório](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 17 | [Redes Recorrentes Generativas](./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 | [Reconhecimento de Entidades Nomeadas](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratório](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Modelos de Linguagem Grandes, Programação de Prompts e Tarefas 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) | |
|
||||
| 19 | [Reconhecimento de Entidades Nomeadas](./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 | [Grandes Modelos de Linguagem, Programação de Prompt e Tarefas 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 | **Outras Técnicas de IA** || |
|
||||
| 21 | [Algoritmos Genéticos](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Aprendizado por Reforço Profundo](./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) | [Laboratório](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 22 | [Aprendizado por Reforço Profundo](./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 | [Sistemas Multiagente](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Ética em IA** | | |
|
||||
| 24 | [Ética em IA e IA Responsável](./lessons/7-Ethics/README.md) | [Microsoft Learn: Princípios de IA Responsável](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Extras** | | |
|
||||
| 25 | [Redes Multimodais, CLIP e VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Cada aula contém
|
||||
## Cada lição contém
|
||||
|
||||
* Material de leitura prévia
|
||||
* Notebooks Jupyter executáveis, que frequentemente são específicos ao framework (**PyTorch** ou **TensorFlow**). O notebook executável também contém muito material teórico, então para entender o tópico você precisa passar por pelo menos uma versão do notebook (seja PyTorch ou TensorFlow).
|
||||
* **Laboratórios** disponíveis para alguns tópicos, que oferecem a oportunidade de tentar aplicar o material que você aprendeu a um problema específico.
|
||||
* Material para leitura prévia
|
||||
* Notebooks Jupyter executáveis, frequentemente específicos para o framework (**PyTorch** ou **TensorFlow**). O notebook executável também contém muito material teórico, portanto, para entender o tópico, você precisa passar por pelo menos uma versão do notebook (PyTorch ou TensorFlow).
|
||||
* **Labs** disponíveis para alguns tópicos, que te dão a oportunidade de tentar aplicar o material aprendido a um problema específico.
|
||||
* Algumas seções contêm links para módulos do [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) que abordam tópicos relacionados.
|
||||
|
||||
## Primeiros Passos
|
||||
## Começando
|
||||
|
||||
### 🎯 Novo em IA? Comece Aqui!
|
||||
### 🎯 Novo em IA? Comece aqui!
|
||||
|
||||
Se você é completamente novo em IA e quer exemplos rápidos e práticos, confira nossos [**Exemplos para Iniciantes**](./examples/README.md)! Estes incluem:
|
||||
Se você é totalmente novo em IA e quer exemplos rápidos e práticos, confira nossos [**Exemplos para Iniciantes**](./examples/README.md)! Eles incluem:
|
||||
|
||||
- 🌟 **Hello AI World** - Seu primeiro programa de IA (reconhecimento de padrões)
|
||||
- 🧠 **Simple Neural Network** - Construa uma rede neural do zero
|
||||
- 🖼️ **Image Classifier** - Classifique imagens com comentários detalhados
|
||||
- 💬 **Análise de Sentimento de Texto** - Analise texto positivo/negativo
|
||||
- 🌟 **Olá Mundo IA** - Seu primeiro programa de IA (reconhecimento de padrões)
|
||||
- 🧠 **Rede Neural Simples** - Construa uma rede neural do zero
|
||||
- 🖼️ **Classificador de Imagens** - Classifique imagens com comentários detalhados
|
||||
- 💬 **Sentimento do Texto** - Analise texto positivo/negativo
|
||||
|
||||
These examples are designed to help you understand AI concepts before diving into the full curriculum.
|
||||
Estes exemplos foram projetados para ajudar você a entender conceitos de IA antes de mergulhar no currículo completo.
|
||||
|
||||
### 📚 Configuração do Currículo Completo
|
||||
|
||||
- Criamos uma [lição de configuração](./lessons/0-course-setup/setup.md) para ajudar você a configurar seu ambiente de desenvolvimento. - Para Educadores, também criamos uma [lição de configuração do currículo](./lessons/0-course-setup/for-teachers.md) para você!
|
||||
- Como [Executar o código no VSCode ou em um Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
- Criamos uma [aula de configuração](./lessons/0-course-setup/setup.md) para ajudar você a configurar seu ambiente de desenvolvimento. - Para Educadores, também criamos uma [aula de configuração do currículo](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Como [Executar o código em um VSCode ou um Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Follow these steps:
|
||||
Siga estas etapas:
|
||||
|
||||
Fork the Repository: Click on the "Fork" button at the top-right corner of this page.
|
||||
Fork do Repositório: Clique no botão "Fork" no canto superior direito desta página.
|
||||
|
||||
Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Clone o Repositório: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Don't forget to star (🌟) this repo to find it easier later.
|
||||
Não esqueça de dar estrela (🌟) neste repositório para encontrá-lo mais facilmente depois.
|
||||
|
||||
## Conheça outros aprendizes
|
||||
## Conheça outros Aprendizes
|
||||
|
||||
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.
|
||||
Junte-se ao nosso [servidor oficial de Discord de IA](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) para conhecer e se conectar com outros aprendizes que estão fazendo este curso e obter suporte.
|
||||
|
||||
If you have product feedback or questions whilst building visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
Se você tiver feedback de produto ou dúvidas durante a construção, visite nosso [Fórum de Desenvolvedores Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
|
||||
## Quizzes
|
||||
## Questionários
|
||||
|
||||
> **Uma nota sobre os questionários**: Todos os questionários estão contidos na pasta Quiz-app em etc\quiz-app, ou [Online Aqui](https://ff-quizzes.netlify.app/) Eles estão vinculados nas lições; o aplicativo de questionários pode ser executado localmente ou implantado no Azure; siga as instruções na pasta `quiz-app`. Eles estão sendo gradualmente localizados.
|
||||
> **Uma nota sobre questionários**: Todos os questionários estão contidos na pasta Quiz-app em etc\quiz-app, ou [Online Aqui](https://ff-quizzes.netlify.app/) Eles são linkados dentro das aulas; o app de questionários pode ser executado localmente ou implantado no Azure; siga as instruções na pasta `quiz-app`. Eles estão sendo progressivamente localizados.
|
||||
|
||||
## Precisamos de Ajuda
|
||||
## Ajuda Necessária
|
||||
|
||||
Você tem sugestões ou encontrou erros de ortografia ou de código? Abra uma issue ou crie um pull request.
|
||||
Você tem sugestões ou encontrou erros de ortografia ou no código? Abra uma issue ou crie um pull request.
|
||||
|
||||
## Agradecimentos Especiais
|
||||
|
||||
* **✍️ Autor Principal:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Ilustradora de sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Criadora de Questionários:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🎨 Ilustrador de Sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Criador de Questionários:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Contribuidores Principais:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Outros Currículos
|
||||
|
|
@ -167,57 +176,57 @@ Nossa equipe produz outros currículos! Confira:
|
|||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agentes
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Série de IA Generativa
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Aprendizado Fundamental
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### Aprendizado Básico
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Série Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## Obter Ajuda
|
||||
## Obtendo Ajuda
|
||||
|
||||
Se você ficar preso ou tiver quaisquer dúvidas sobre como construir aplicativos de IA, junte-se a outros aprendizes e desenvolvedores experientes em discussões sobre MCP. É uma comunidade de apoio onde perguntas são bem-vindas e o conhecimento é compartilhado livremente.
|
||||
Se você ficar preso ou tiver quaisquer dúvidas sobre como criar aplicativos de IA. Junte-se a outros aprendizes e desenvolvedores experientes em discussões sobre MCP. É uma comunidade solidária onde perguntas são bem-vindas e o conhecimento é compartilhado livremente.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Se você tiver feedback do produto ou erros durante o desenvolvimento, visite:
|
||||
Se você tiver feedback sobre o produto ou erros durante a construção, visite:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Isenção de responsabilidade**:
|
||||
Este documento foi traduzido usando o serviço de tradução por IA [Co-op Translator](https://github.com/Azure/co-op-translator). Embora nos esforcemos para garantir a precisão, esteja ciente de que traduções automatizadas podem conter erros ou imprecisões. O documento original em seu idioma nativo deve ser considerado a fonte autorizada. Para informações críticas, recomenda-se tradução profissional feita por um humano. Não nos responsabilizamos por quaisquer mal-entendidos ou interpretações incorretas decorrentes do uso desta tradução.
|
||||
**Aviso Legal**:
|
||||
Este documento foi traduzido utilizando o serviço de tradução automática [Co-op Translator](https://github.com/Azure/co-op-translator). Embora nos esforcemos para garantir a precisão, esteja ciente de que traduções automatizadas podem conter erros ou imprecisões. O documento original em seu idioma nativo deve ser considerado a fonte autorizada. Para informações críticas, recomenda-se tradução profissional humana. Não nos responsabilizamos por quaisquer mal-entendidos ou interpretações incorretas decorrentes do uso desta tradução.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,164 +1,174 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "14816e97d79b296c87811724f7785923",
|
||||
"translation_date": "2026-01-01T11:43:15+00:00",
|
||||
"original_hash": "0dc6311637b811abb415a936669d7e76",
|
||||
"translation_date": "2026-01-05T15:28:10+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "el"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Τεχνητή Νοημοσύνη για Αρχάριους - Ένα Πρόγραμμα Σπουδών
|
||||
# Τεχνητή Νοημοσύνη για Αρχάριους - Ένα Αναλυτικό Πρόγραμμα
|
||||
|
||||
||
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _Σχεδιαστικό σημείωμα από [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| AI For Beginners - _Σημείωση σχεδίασης από [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Εξερευνήστε τον κόσμο της **Τεχνητής Νοημοσύνης** (AI) με το 12-εβδομαδιαίο πρόγραμμα σπουδών μας, 24 μαθημάτων! Περιλαμβάνει πρακτικά μαθήματα, κουίζ και εργαστήρια. Το πρόγραμμα είναι φιλικό προς αρχάριους και καλύπτει εργαλεία όπως TensorFlow και PyTorch, καθώς και θεματικές δεοντολογίας στην AI
|
||||
Εξερευνήστε τον κόσμο της **Τεχνητής Νοημοσύνης** (AI) με το 12-εβδομάδων, 24-μαθημάτων αναλυτικό μας πρόγραμμα! Περιλαμβάνει πρακτικά μαθήματα, κουίζ και εργαστήρια. Το πρόγραμμα είναι φιλικό προς τους αρχάριους και καλύπτει εργαλεία όπως TensorFlow και PyTorch, καθώς και θέματα ηθικής στην AI
|
||||
|
||||
### 🌐 Υποστήριξη Πολλών Γλωσσών
|
||||
### 🌐 Υποστήριξη Πολύγλωσσης
|
||||
|
||||
#### Υποστηρίζεται μέσω GitHub Action (Αυτοματοποιημένο & Πάντα Ενημερωμένο)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Αραβικά](../ar/README.md) | [Μπενγκάλι](../bn/README.md) | [Βουλγαρικά](../bg/README.md) | [Βιρμανικά (Myanmar)](../my/README.md) | [Κινέζικα (Απλοποιημένα)](../zh/README.md) | [Κινέζικα (Παραδοσιακά, Χονγκ Κονγκ)](../hk/README.md) | [Κινέζικα (Παραδοσιακά, Μακάο)](../mo/README.md) | [Κινέζικα (Παραδοσιακά, Ταϊβάν)](../tw/README.md) | [Κροατικά](../hr/README.md) | [Τσέχικα](../cs/README.md) | [Δανικά](../da/README.md) | [Ολλανδικά](../nl/README.md) | [Εσθονικά](../et/README.md) | [Φινλανδικά](../fi/README.md) | [Γαλλικά](../fr/README.md) | [Γερμανικά](../de/README.md) | [Ελληνικά](./README.md) | [Εβραϊκά](../he/README.md) | [Χίντι](../hi/README.md) | [Ουγγρικά](../hu/README.md) | [Ινδονησιακά](../id/README.md) | [Ιταλικά](../it/README.md) | [Ιαπωνικά](../ja/README.md) | [Κανάντα](../kn/README.md) | [Κορεατικά](../ko/README.md) | [Λιθουανικά](../lt/README.md) | [Μαλαιικά](../ms/README.md) | [Μαλυαλάμ](../ml/README.md) | [Μαραθί](../mr/README.md) | [Νεπάλι](../ne/README.md) | [Νιγηριανό Pidgin](../pcm/README.md) | [Νορβηγικά](../no/README.md) | [Περσικά (Φαρσί)](../fa/README.md) | [Πολωνικά](../pl/README.md) | [Πορτογαλικά (Βραζιλίας)](../br/README.md) | [Πορτογαλικά (Πορτογαλίας)](../pt/README.md) | [Πουντζάμπι (Gurmukhi)](../pa/README.md) | [Ρουμανικά](../ro/README.md) | [Ρωσικά](../ru/README.md) | [Σερβικά (Κυριλλικά)](../sr/README.md) | [Σλοβακικά](../sk/README.md) | [Σλοβενικά](../sl/README.md) | [Ισπανικά](../es/README.md) | [Σουαχίλι](../sw/README.md) | [Σουηδικά](../sv/README.md) | [Ταγκαλόγκ (Φιλιππινέζικα)](../tl/README.md) | [Τάμιλ](../ta/README.md) | [Τελούγκου](../te/README.md) | [Ταϊλανδέζικα](../th/README.md) | [Τουρκικά](../tr/README.md) | [Ουκρανικά](../uk/README.md) | [Ουρντού](../ur/README.md) | [Βιετναμέζικα](../vi/README.md)
|
||||
[Αραβικά](../ar/README.md) | [Βεγγαλικά](../bn/README.md) | [Βουλγαρικά](../bg/README.md) | [Βιρμανικά (Μιανμάρ)](../my/README.md) | [Κινέζικα (Απλοποιημένα)](../zh/README.md) | [Κινέζικα (Παραδοσιακά, Χονγκ Κονγκ)](../hk/README.md) | [Κινέζικα (Παραδοσιακά, Μακάο)](../mo/README.md) | [Κινέζικα (Παραδοσιακά, Ταϊβάν)](../tw/README.md) | [Κροατικά](../hr/README.md) | [Τσέχικα](../cs/README.md) | [Δανέζικα](../da/README.md) | [Ολλανδικά](../nl/README.md) | [Εσθονικά](../et/README.md) | [Φινλανδικά](../fi/README.md) | [Γαλλικά](../fr/README.md) | [Γερμανικά](../de/README.md) | [Ελληνικά](./README.md) | [Εβραϊκά](../he/README.md) | [Χίντι](../hi/README.md) | [Ουγγρικά](../hu/README.md) | [Ινδονησιακά](../id/README.md) | [Ιταλικά](../it/README.md) | [Ιαπωνικά](../ja/README.md) | [Κανάντα](../kn/README.md) | [Κορεατικά](../ko/README.md) | [Λιθουανικά](../lt/README.md) | [Μαλαισιανά](../ms/README.md) | [Μαλαγιαλάμ](../ml/README.md) | [Μαράθι](../mr/README.md) | [Νεπάλι](../ne/README.md) | [Νιγηριανό Πίτζιν](../pcm/README.md) | [Νορβηγικά](../no/README.md) | [Περσικά (Φαρσί)](../fa/README.md) | [Πολωνικά](../pl/README.md) | [Πορτογαλικά (Βραζιλίας)](../br/README.md) | [Πορτογαλικά (Πορτογαλίας)](../pt/README.md) | [Πουντζάμπι (Γκουρμούκι)](../pa/README.md) | [Ρουμανικά](../ro/README.md) | [Ρωσικά](../ru/README.md) | [Σερβικά (Κυριλλικά)](../sr/README.md) | [Σλοβάκικα](../sk/README.md) | [Σλοβενικά](../sl/README.md) | [Ισπανικά](../es/README.md) | [Σουαχίλι](../sw/README.md) | [Σουηδικά](../sv/README.md) | [Ταγκάλογκ (Φιλιππινέζικα)](../tl/README.md) | [Ταμίλ](../ta/README.md) | [Τελούγκου](../te/README.md) | [Ταϊλανδικά](../th/README.md) | [Τουρκικά](../tr/README.md) | [Ουκρανικά](../uk/README.md) | [Ουρντού](../ur/README.md) | [Βιετναμέζικα](../vi/README.md)
|
||||
|
||||
> **Προτιμάτε να Κλωνοποιήσετε Τοπικά;**
|
||||
|
||||
> Αυτό το αποθετήριο περιλαμβάνει πάνω από 50 μεταφράσεις γλωσσών που αυξάνουν σημαντικά το μέγεθος λήψης. Για να κλωνοποιήσετε χωρίς μεταφράσεις, χρησιμοποιήστε 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'
|
||||
> ```
|
||||
> Αυτό σας δίνει όλα όσα χρειάζεστε για να ολοκληρώσετε το μάθημα με πολύ γρηγορότερη λήψη.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Εάν επιθυμείτε να προστεθούν επιπλέον γλώσσες, οι γλώσσες που υποστηρίζονται είναι καταγεγραμμένες [εδώ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Εάν επιθυμείτε να υποστηριχθούν επιπλέον γλώσσες, αυτές αναγράφονται [εδώ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Ελάτε στην Κοινότητα
|
||||
## Ενταχθείτε στην Κοινότητα
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Τι θα μάθετε
|
||||
|
||||
**[Χάρτης εννοιών του μαθήματος](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[Μυαλόχάρτης του Μαθήματος](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Σε αυτό το πρόγραμμα σπουδών, θα μάθετε:
|
||||
Σε αυτό το αναλυτικό πρόγραμμα, θα μάθετε:
|
||||
|
||||
* Διαφορετικές προσεγγίσεις στην Τεχνητή Νοημοσύνη, συμπεριλαμβανομένης της "παλιάς καλής" συμβολικής προσέγγισης με **Αναπαράσταση Γνώσης** και συλλογιστική ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Νευρωνικά Δίκτυα** και **Βαθιά Μάθηση**, που είναι στον πυρήνα της σύγχρονης ΤΝ. Θα εικονογραφήσουμε τις έννοιες πίσω από αυτά τα σημαντικά θέματα χρησιμοποιώντας κώδικα σε δύο από τα πιο δημοφιλή πλαίσια - [TensorFlow](http://Tensorflow.org) και [PyTorch](http://pytorch.org).
|
||||
* **Νευρωνικές Αρχιτεκτονικές** για εργασία με εικόνες και κείμενο. Θα καλύψουμε πρόσφατα μοντέλα αλλά ίσως υστερούμε λίγο όσον αφορά την αιχμή της τεχνολογίας.
|
||||
* Λιγότερο δημοφιλείς προσεγγίσεις στην ΤΝ, όπως **Γενετικοί Αλγόριθμοι** και **Πολυ-παραγοντικά Συστήματα**.
|
||||
* Διάφορες προσεγγίσεις στην Τεχνητή Νοημοσύνη, συμπεριλαμβανομένης της "παλιάς καλής" συμβολικής προσέγγισης με **Αναπαράσταση Γνώσης** και συλλογιστική ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Νευρωνικά Δίκτυα** και **Βαθιά Μάθηση**, που βρίσκονται στον πυρήνα της σύγχρονης AI. Θα εικονογραφήσουμε τις έννοιες πίσω από αυτά τα σημαντικά θέματα χρησιμοποιώντας κώδικα σε δύο από τα πιο δημοφιλή πλαίσια - [TensorFlow](http://Tensorflow.org) και [PyTorch](http://pytorch.org).
|
||||
* **Νευρωνικές Αρχιτεκτονικές** για εργασία με εικόνες και κείμενο. Θα καλύψουμε σύγχρονα μοντέλα αλλά μπορεί να υπάρχει κάποια έλλειψη στην τελευταία τεχνολογία.
|
||||
* Λιγότερο δημοφιλείς προσεγγίσεις AI, όπως οι **Γενετικοί Αλγόριθμοι** και τα **Πολυ-πρακτορικά Συστήματα**.
|
||||
|
||||
Τι δεν θα καλύψουμε σε αυτό το πρόγραμμα σπουδών:
|
||||
Τι δεν θα καλύψουμε σε αυτό το αναλυτικό πρόγραμμα:
|
||||
|
||||
> [Βρείτε όλους τους επιπλέον πόρους για αυτό το μάθημα στη συλλογή μας Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Βρείτε όλους τους επιπλέον πόρους για αυτό το μάθημα στη συλλογή μας στο Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Επιχειρησιακά περιστατικά χρήσης της **ΤΝ στις Επιχειρήσεις**. Σκεφτείτε να παρακολουθήσετε το μάθημα [Εισαγωγή στην ΤΝ για επιχειρηματικούς χρήστες](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) στη Microsoft Learn, ή την [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), αναπτυγμένη σε συνεργασία με το [INSEAD](https://www.insead.edu/).
|
||||
* **Κλασική Μηχανική Μάθηση**, που περιγράφεται καλά στο [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Πρακτικές εφαρμογές ΤΝ που χτίζονται χρησιμοποιώντας **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Για αυτό, προτείνουμε να ξεκινήσετε με τα μαθήματα Microsoft Learn για [όραση](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [επεξεργασία φυσικής γλώσσας](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Γενετική ΤΝ με Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** και άλλα.
|
||||
* Συγκεκριμένα ML **Πλαίσια Νέφους**, όπως [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), ή [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Σκεφτείτε να χρησιμοποιήσετε τα εκπαιδευτικά μονοπάτια [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) και [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).
|
||||
* **Συνομιλητική ΤΝ** και **Chat Bots**. Υπάρχει ξεχωριστό μάθημα [Δημιουργία λύσεων συνομιλητικής ΤΝ](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), και μπορείτε επίσης να ανατρέξετε σε [αυτό το blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) για περισσότερες λεπτομέρειες.
|
||||
* **Βαθιά Μαθηματικά** πίσω από τη βαθιά μάθηση. Για αυτό, προτείνουμε το [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) των Ian Goodfellow, Yoshua Bengio και Aaron Courville, το οποίο είναι επίσης διαθέσιμο online στο [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Επιχειρηματικές περιπτώσεις χρήσης της **AI στις Επιχειρήσεις**. Σκεφτείτε να ακολουθήσετε την εκπαιδευτική διαδρομή [Εισαγωγή στην AI για επιχειρηματικούς χρήστες](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) στο Microsoft Learn, ή την [Σχολή Επιχειρηματικής AI](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), που αναπτύχθηκε σε συνεργασία με το [INSEAD](https://www.insead.edu/).
|
||||
* **Κλασική Μηχανική Μάθηση**, που έχει καλή περιγραφή στο [Μάθημα Μηχανικής Μάθησης για Αρχάριους](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Πρακτικές εφαρμογές AI που έχουν κατασκευαστεί χρησιμοποιώντας **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Για αυτό, προτείνουμε να ξεκινήσετε με τα μαθήματα του Microsoft Learn για [όραση](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [επεξεργασία φυσικής γλώσσας](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Γεννητική AI με Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** και άλλες.
|
||||
* Συγκεκριμένα ML **Cloud Frameworks**, όπως [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), ή [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Σκεφτείτε να χρησιμοποιήσετε τις εκπαιδευτικές διαδρομές [Δημιουργήστε και λειτουργήστε λύσεις μηχανικής μάθησης με Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) και [Δημιουργήστε και λειτουργήστε λύσεις μηχανικής μάθησης με Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Conversational AI** και **Chat Bots**. Υπάρχει ξεχωριστή εκπαιδευτική διαδρομή [Δημιουργήστε λύσεις συνομιλιακής AI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), και μπορείτε επίσης να ανατρέξετε σε [αυτό το άρθρο στο blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) για περισσότερες λεπτομέρειες.
|
||||
* **Βαθιά Μαθηματικά** πίσω από τη βαθιά μάθηση. Για αυτό, προτείνουμε το βιβλίο [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) των Ian Goodfellow, Yoshua Bengio και Aaron Courville, που είναι επίσης διαθέσιμο online στο [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Για μια ήπια εισαγωγή σε θέματα _ΤΝ στο Νέφος_ μπορείτε να σκεφτείτε να παρακολουθήσετε το μάθημα [Ξεκινήστε με την τεχνητή νοημοσύνη στο Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
Για μια ομαλή εισαγωγή στα θέματα _AI στο Cloud_ μπορείτε να σκεφτείτε να ακολουθήσετε την εκπαιδευτική διαδρομή [Ξεκινήστε με την τεχνητή νοημοσύνη στο Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Περιεχόμενο
|
||||
|
||||
| | Σύνδεσμος Μαθήματος | PyTorch/Keras/TensorFlow | Εργαστήριο |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Ρύθμιση μαθήματος](./lessons/0-course-setup/setup.md) | [Ρύθμιση του περιβάλλοντος ανάπτυξής σας](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Εισαγωγή στην Τεχνητή Νοημοσύνη**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Εισαγωγή και Ιστορία της Τεχνητής Νοημοσύνης](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Συμβολική Τεχνητή Νοημοσύνη** |
|
||||
| 02 | [Αναπαράσταση Γνώσης και Συστήματα Εμπειρογνωμόνων](./lessons/2-Symbolic/README.md) | [Συστήματα Εμπειρογνωμόνων](./lessons/2-Symbolic/Animals.ipynb) / [Οντολογία](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Γράφος Εννοιών](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| 0 | [Ρύθμιση Μαθήματος](./lessons/0-course-setup/setup.md) | [Ρύθμιση Περιβάλλοντος Ανάπτυξης](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Εισαγωγή στην AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Εισαγωγή και Ιστορία της AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Συμβολική AI** |
|
||||
| 02 | [Αναπαράσταση Γνώσης και Εμπειρικά Συστήματα](./lessons/2-Symbolic/README.md) | [Εμπειρικά Συστήματα](./lessons/2-Symbolic/Animals.ipynb) / [Οντολογία](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Διάγραμμα Εννοιών](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Εισαγωγή στα Νευρωνικά Δίκτυα**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Περσέπτρον](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Σημειωματάριο](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Εργαστήριο](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Πολυστρωματικό Περσέπτρον και Δημιουργία του δικού μας Πλαισίου](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Σημειωματάριο](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Εργαστήριο](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Εισαγωγή σε Πλαίσια (PyTorch/TensorFlow) και Υπερπροσαρμογή](./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) | [Εργαστήριο](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Υπολογιστική Όραση**](./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)| [Εξερευνήστε την Υπολογιστική Όραση στο Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Εισαγωγή στην Υπολογιστική Όραση. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Σημειωματάριο](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Εργαστήριο](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Συνελικτικά Νευρωνικά Δίκτυα](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Αρχιτεκτονικές 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) | [Εργαστήριο](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Προεκπαιδευμένα Δίκτυα και Μεταφορά Μάθησης](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Τεχνικές Εκπαίδευσης](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Εργαστήριο](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Πολυστρωματικός Perceptron και Δημιουργία του δικού μας 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 | [Εισαγωγή στα Frameworks (PyTorch/TensorFlow) και Υπερεκπαίδευση](./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 | [**Επεξεργασία Εικόνας**](./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)| [Εξερεύνηση Επεξεργασίας Εικόνας στο Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Εισαγωγή στην Επεξεργασία Εικόνας. 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 | [Συνελικτικά Νευρωνικά Δίκτυα](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Αρχιτεκτονικές CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Προεκπαιδευμένα Δίκτυα και Μεταφορά Μάθησης](./lessons/4-ComputerVision/08-TransferLearning/README.md) και [Τεχνάσματα Εκπαίδευσης](./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 | [Αυτοκωδικοποιητές και 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 | [Γενετικά Ανταγωνιστικά Δίκτυα & Μεταφορά Καλλιτεχνικού Στυλ](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Ανίχνευση Αντικειμένων](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Εργαστήριο](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 11 | [Ανίχνευση Αντικειμένων](./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 | [Σημασιολογική Τμηματοποίηση. 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 | [**Επεξεργασία Φυσικής Γλώσσας**](./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) | [Εξερευνήστε την Επεξεργασία Φυσικής Γλώσσας στο Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| V | [**Επεξεργασία Φυσικής Γλώσσας**](./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) | [Εξερεύνηση Επεξεργασίας Φυσικής Γλώσσας στο Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Αναπαράσταση Κειμένου. 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 | [Σημασιολογικές ενσωματώσεις λέξεων. Word2Vec και 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 | [Μοντελοποίηση Γλώσσας. Εκπαίδευση των δικών σας ενσωματώσεων](./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) | [Εργαστήριο](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Επαναληπτικά Νευρωνικά Δίκτυα](./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 | [Γενετικά Επαναληπτικά Δίκτυα](./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) | [Εργαστήριο](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 14 | [Σημασιολογικές λέξεις ενσωματώσεις. Word2Vec και 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 | [Μοντελοποίηση Γλώσσας. Εκπαίδευση των δικών σου ενσωματώσεων](./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 | [Επαναλαμβανόμενα Νευρωνικά Δίκτυα](./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 | [Γενετικά Επαναλαμβανόμενα Δίκτυα](./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 | [Αναγνώριση Οντοτήτων](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Εργαστήριο](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Μεγάλα Μοντέλα Γλώσσας, Προγραμματισμός Προτροπών και Εργασίες με Λίγα Δείγματα](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| 19 | [Αναγνώριση Ονομαστικών Οντοτήτων](./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 | [Μεγάλα Μοντέλα Γλώσσας, Προγραμματισμός Υποδείξεων και Εργασίες με Λίγα Παραδείγματα](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Άλλες Τεχνικές Τεχνητής Νοημοσύνης** || |
|
||||
| 21 | [Γενετικοί Αλγόριθμοι](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Σημειωματάριο](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Βαθιά Ενισχυτική Μάθηση](./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) | [Εργαστήριο](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 21 | [Γενετικοί Αλγόριθμοι](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Ενισχυτική Μάθηση Βαθιάς Μάθησης](./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 | [Συστήματα Πολλαπλών Πρακτόρων](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Ηθική της Τεχνητής Νοημοσύνης** | | |
|
||||
| 24 | [Ηθική της Τεχνητής Νοημοσύνης και Υπεύθυνη Τεχνητή Νοημοσύνη](./lessons/7-Ethics/README.md) | [Microsoft Learn: Αρχές Υπεύθυνης Τεχνητής Νοημοσύνης](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Επιπλέον** | | |
|
||||
| 25 | [Πολυτροπικά Δίκτυα, CLIP και VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Σημειωματάριο](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [Πολυμορφικά Δίκτυα, CLIP και VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Κάθε μάθημα περιλαμβάνει
|
||||
## Κάθε μάθημα περιέχει
|
||||
|
||||
* Προαναγνωστικό υλικό
|
||||
* Εκτελέσιμα Jupyter σημειωματάρια, τα οποία συχνά είναι ειδικά για το πλαίσιο (**PyTorch** ή **TensorFlow**). Το εκτελέσιμο σημειωματάριο περιέχει επίσης πολύ θεωρητικό υλικό, οπότε για να κατανοήσετε το θέμα πρέπει να περάσετε τουλάχιστον από μία έκδοση του σημειωματάριου (είτε PyTorch είτε TensorFlow).
|
||||
* **Εργαστήρια** διαθέσιμα για μερικά θέματα, που σας δίνουν την ευκαιρία να δοκιμάσετε την εφαρμογή του υλικού που μάθατε σε ένα συγκεκριμένο πρόβλημα.
|
||||
* Ορισμένες ενότητες περιέχουν συνδέσμους προς [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ενότητες που καλύπτουν σχετικές θεματικές.
|
||||
* Υλικό προανάγνωσης
|
||||
* Εκτελέσιμα Jupyter Notebooks, τα οποία συχνά είναι συγκεκριμένα για το framework (**PyTorch** ή **TensorFlow**). Το εκτελέσιμο notebook περιέχει επίσης μεγάλο θεωρητικό υλικό, οπότε για να κατανοήσετε το θέμα χρειάζεται να περάσετε τουλάχιστον από μια έκδοση του notebook (είτε PyTorch είτε TensorFlow).
|
||||
* **Εργαστήρια** διαθέσιμα για ορισμένα θέματα, που σας δίνουν την ευκαιρία να δοκιμάσετε να εφαρμόσετε το υλικό που μάθατε σε ένα συγκεκριμένο πρόβλημα.
|
||||
* Ορισμένα τμήματα περιέχουν συνδέσμους σε ενότητες του [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) που καλύπτουν συναφή θέματα.
|
||||
|
||||
## Ξεκινώντας
|
||||
|
||||
### 🎯 Μόλις ξεκινάτε με την Τεχνητή Νοημοσύνη; Ξεκινήστε εδώ!
|
||||
### 🎯 Νέος στην Τεχνητή Νοημοσύνη; Ξεκίνα Εδώ!
|
||||
|
||||
Αν είστε εντελώς νέοι στην Τεχνητή Νοημοσύνη και θέλετε γρήγορα, πρακτικά παραδείγματα, ρίξτε μια ματιά στα [**Παραδείγματα για Αρχάριους**](./examples/README.md)! Αυτά περιλαμβάνουν:
|
||||
Αν είστε εντελώς νέος στην Τεχνητή Νοημοσύνη και θέλετε γρήγορα, πρακτικά παραδείγματα, δείτε τα [**Φιλικά Παραδείγματα για Αρχάριους**](./examples/README.md)! Αυτά περιλαμβάνουν:
|
||||
|
||||
- 🌟 **Hello AI World** - Το πρώτο σας πρόγραμμα τεχνητής νοημοσύνης (αναγνώριση προτύπων)
|
||||
- 🧠 **Απλό Νευρωνικό Δίκτυο** - Κατασκευάστε ένα νευρωνικό δίκτυο από την αρχή
|
||||
- 🖼️ **Ταξινομητής Εικόνων** - Ταξινομήστε εικόνες με λεπτομερή σχόλια
|
||||
- 💬 **Συναισθηματική Ανάλυση Κειμένου** - Ανάλυση θετικού/αρνητικού κειμένου
|
||||
- 🌟 **Hello AI World** - Το πρώτο σας πρόγραμμα AI (αναγνώριση προτύπων)
|
||||
- 🧠 **Απλό Νευρωνικό Δίκτυο** - Δημιουργήστε ένα νευρωνικό δίκτυο από το μηδέν
|
||||
- 🖼️ **Ταξινομητής Εικόνων** - Ταξινομήστε εικόνες με λεπτομερείς σχολιασμούς
|
||||
- 💬 **Συναίσθημα Κειμένου** - Ανάλυση θετικού/αρνητικού κειμένου
|
||||
|
||||
Αυτά τα παραδείγματα έχουν σχεδιαστεί για να σας βοηθήσουν να κατανοήσετε τις έννοιες της AI πριν βυθιστείτε στο πλήρες πρόγραμμα σπουδών.
|
||||
Αυτά τα παραδείγματα έχουν σχεδιαστεί για να σας βοηθήσουν να κατανοήσετε τις έννοιες της Τεχνητής Νοημοσύνης πριν βυθιστείτε στο πλήρες πρόγραμμα σπουδών.
|
||||
|
||||
### 📚 Πλήρης Ρύθμιση Προγράμματος Σπουδών
|
||||
### 📚 Ρύθμιση Πλήρους Προγράμματος Σπουδών
|
||||
|
||||
- Έχουμε δημιουργήσει ένα [μάθημα ρύθμισης](./lessons/0-course-setup/setup.md) για να σας βοηθήσει με τη ρύθμιση του περιβάλλοντος ανάπτυξης. - Για Εκπαιδευτές, έχουμε δημιουργήσει επίσης ένα [μάθημα ρύθμισης προγράμματος σπουδών](./lessons/0-course-setup/for-teachers.md) για εσάς!
|
||||
- Πώς να [εκτελέσετε τον κώδικα σε VSCode ή Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
- Έχουμε δημιουργήσει ένα [μάθημα ρύθμισης](./lessons/0-course-setup/setup.md) για να σας βοηθήσουμε με τη ρύθμιση του περιβάλλοντος ανάπτυξής σας. - Για εκπαιδευτές, έχουμε δημιουργήσει και ένα [μάθημα ρύθμισης προγράμματος σπουδών](./lessons/0-course-setup/for-teachers.md) για εσάς επίσης!
|
||||
- Πώς να [τρέξετε τον κώδικα σε VSCode ή Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Ακολουθήστε αυτά τα βήματα:
|
||||
|
||||
Fork the Repository: Click on the "Fork" button at the top-right corner of this page.
|
||||
Δημιουργήστε Fork του Αποθετηρίου: Πατήστε το κουμπί "Fork" στην πάνω δεξιά γωνία αυτής της σελίδας.
|
||||
|
||||
Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Κλωνοποιήστε το Αποθετήριο: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Don't forget to star (🌟) this repo to find it easier later.
|
||||
Μην ξεχάσετε να βάλετε αστέρι (🌟) σε αυτό το αποθετήριο για να το βρείτε πιο εύκολα αργότερα.
|
||||
|
||||
## Γνωρίστε άλλους Μαθητές
|
||||
|
||||
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.
|
||||
Ενταχθείτε στον [επίσημο διακομιστή AI Discord](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) για να γνωρίσετε και να δικτυωθείτε με άλλους μαθητές που παρακολουθούν αυτό το μάθημα και να λάβετε υποστήριξη.
|
||||
|
||||
If you have product feedback or questions whilst building visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
Εάν έχετε σχόλια προϊόντος ή ερωτήσεις κατά την ανάπτυξη επισκεφτείτε το [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Κουίζ
|
||||
## Κουίζ
|
||||
|
||||
> **Μια σημείωση σχετικά με τα κουίζ**: Όλα τα κουίζ βρίσκονται στον φάκελο Quiz-app στο etc\quiz-app, ή [Online Εδώ](https://ff-quizzes.netlify.app/) Συνδέονται μέσα στα μαθήματα· η εφαρμογή κουίζ μπορεί να τρέξει τοπικά ή να αναπτυχθεί στο Azure· ακολουθήστε τις οδηγίες στον φάκελο `quiz-app`. Βρίσκονται σταδιακά σε διαδικασία τοπικοποίησης.
|
||||
> **Μια σημείωση για τα κουίζ**: Όλα τα κουίζ βρίσκονται στον φάκελο Quiz-app στο etc\quiz-app, ή [Ηλεκτρονικά Εδώ](https://ff-quizzes.netlify.app/) Είναι συνδεδεμένα από τα μαθήματα, η εφαρμογή κουίζ μπορεί να τρέχει τοπικά ή να αναπτύσσεται στο Azure. Ακολουθήστε τις οδηγίες στον φάκελο `quiz-app`. Βρίσκονται σε διαδικασία σταδιακής τοπικοποίησης.
|
||||
|
||||
## Χρειάζεται Βοήθεια
|
||||
## Ζητείται Βοήθεια
|
||||
|
||||
Έχετε προτάσεις ή βρήκατε ορθογραφικά λάθη ή σφάλματα κώδικα; Ανοίξτε ένα θέμα ή δημιουργήστε ένα pull request.
|
||||
Έχετε προτάσεις ή βρήκατε ορθογραφικά ή κώδικα σφάλματα; Δημιουργήστε ένα issue ή ένα pull request.
|
||||
|
||||
## Ειδικές Ευχαριστίες
|
||||
|
||||
* **✍️ Κύριος Συγγραφέας:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Επιμελητής:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Εικονογράφος σκίτσων:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **🔥 Συντάκτης:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Σχεδιαστής Σημειώσεων:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Δημιουργός Κουίζ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Βασικοί Συνεισφέροντες:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **🙏 Κύριοι Συνεισφέροντες:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Άλλα Προγράμματα Σπουδών
|
||||
|
||||
|
|
@ -179,7 +189,7 @@ If you have product feedback or questions whilst building visit our [Azure AI Fo
|
|||
|
||||
---
|
||||
|
||||
### Generative AI Series
|
||||
### Σειρά Generative AI
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-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 @@ If you have product feedback or questions whilst building visit our [Azure AI Fo
|
|||
|
||||
---
|
||||
|
||||
### Core Learning
|
||||
### Βασική Μάθηση
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -198,25 +208,25 @@ If you have product feedback or questions whilst building visit our [Azure AI Fo
|
|||
|
||||
---
|
||||
|
||||
### Copilot Series
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
### Σειρά Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## Λήψη Βοήθειας
|
||||
## Πώς να Λάβετε Βοήθεια
|
||||
|
||||
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.
|
||||
Εάν κολλήσετε ή έχετε ερωτήσεις σχετικά με την κατασκευή εφαρμογών AI. Ενταχθείτε σε συνομιλίες με άλλους μαθητές και έμπειρους προγραμματιστές σχετικά με το MCP. Είναι μια υποστηρικτική κοινότητα όπου οι ερωτήσεις είναι ευπρόσδεκτες και η γνώση μοιράζεται ελεύθερα.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
If you have product feedback or errors while building visit:
|
||||
Εάν έχετε σχόλια ή λάθη κατά την ανάπτυξη, επισκεφτείτε:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
Αποποίηση ευθύνης:
|
||||
Το παρόν έγγραφο έχει μεταφραστεί με χρήση της υπηρεσίας αυτόματης μετάφρασης τεχνητής νοημοσύνης [Co-op Translator](https://github.com/Azure/co-op-translator). Παρά τις προσπάθειές μας για ακρίβεια, παρακαλούμε να λάβετε υπόψη ότι οι αυτοματοποιημένες μεταφράσεις ενδέχεται να περιέχουν λάθη ή ανακρίβειες. Το πρωτότυπο έγγραφο στην αρχική του γλώσσα πρέπει να θεωρείται η αυθεντική πηγή. Για κρίσιμες πληροφορίες συνιστάται επαγγελματική μετάφραση από ανθρώπινο μεταφραστή. Δεν φέρουμε ευθύνη για οποιεσδήποτε παρεξηγήσεις ή εσφαλμένες ερμηνείες που προκύπτουν από τη χρήση αυτής της μετάφρασης.
|
||||
**Αποποίηση Ευθυνών**:
|
||||
Αυτό το έγγραφο έχει μεταφραστεί χρησιμοποιώντας την υπηρεσία μετάφρασης με τεχνητή νοημοσύνη [Co-op Translator](https://github.com/Azure/co-op-translator). Παρόλο που επιδιώκουμε την ακρίβεια, παρακαλούμε να γνωρίζετε ότι οι αυτόματες μεταφράσεις ενδέχεται να περιέχουν σφάλματα ή ανακρίβειες. Το πρωτότυπο έγγραφο στη γλώσσα του θεωρείται η αυθεντική πηγή. Για κρίσιμες πληροφορίες, συνιστάται επαγγελματική μετάφραση από ανθρώπους. Δεν φέρουμε καμία ευθύνη για τυχόν παρεξηγήσεις ή λανθασμένες ερμηνείες που προκύπτουν από τη χρήση αυτής της μετάφρασης.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,222 +1,233 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "14816e97d79b296c87811724f7785923",
|
||||
"translation_date": "2026-01-01T11:33:57+00:00",
|
||||
"original_hash": "0dc6311637b811abb415a936669d7e76",
|
||||
"translation_date": "2026-01-05T15:20:21+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "it"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Intelligenza Artificiale per Principianti - Un Curriculum
|
||||
|
||||
||
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _Sketchnote di [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Esplora il mondo dell'**Intelligenza Artificiale** (IA) con il nostro curriculum di 12 settimane e 24 lezioni! Include lezioni pratiche, quiz e laboratori. Il curriculum è adatto ai principianti e copre strumenti come TensorFlow e PyTorch, oltre all'etica nell'IA
|
||||
Esplora il mondo dell'**Intelligenza Artificiale** (IA) con il nostro curriculum di 12 settimane, 24 lezioni! Include lezioni pratiche, quiz e laboratori. Il curriculum è adatto ai principianti e copre strumenti come TensorFlow e PyTorch, oltre all'etica nell'IA.
|
||||
|
||||
### 🌐 Supporto multilingue
|
||||
|
||||
### 🌐 Supporto Multilingue
|
||||
|
||||
#### Supportato tramite GitHub Action (Automatizzato e Sempre Aggiornato)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabo](../ar/README.md) | [Bengalese](../bn/README.md) | [Bulgaro](../bg/README.md) | [Birmano (Myanmar)](../my/README.md) | [Cinese (semplificato)](../zh/README.md) | [Cinese (tradizionale, Hong Kong)](../hk/README.md) | [Cinese (tradizionale, Macau)](../mo/README.md) | [Cinese (tradizionale, Taiwan)](../tw/README.md) | [Croato](../hr/README.md) | [Ceco](../cs/README.md) | [Danese](../da/README.md) | [Olandese](../nl/README.md) | [Estone](../et/README.md) | [Finlandese](../fi/README.md) | [Francese](../fr/README.md) | [Tedesco](../de/README.md) | [Greco](../el/README.md) | [Ebraico](../he/README.md) | [Hindi](../hi/README.md) | [Ungherese](../hu/README.md) | [Indonesiano](../id/README.md) | [Italiano](./README.md) | [Giapponese](../ja/README.md) | [Kannada](../kn/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malese](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalese](../ne/README.md) | [Pidgin nigeriano](../pcm/README.md) | [Norvegese](../no/README.md) | [Persiano (Farsi)](../fa/README.md) | [Polacco](../pl/README.md) | [Portoghese (Brasile)](../br/README.md) | [Portoghese (Portogallo)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romeno](../ro/README.md) | [Russo](../ru/README.md) | [Serbo (Cirillico)](../sr/README.md) | [Slovacco](../sk/README.md) | [Sloveno](../sl/README.md) | [Spagnolo](../es/README.md) | [Swahili](../sw/README.md) | [Svedese](../sv/README.md) | [Tagalog (Filippino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thailandese](../th/README.md) | [Turco](../tr/README.md) | [Ucraino](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../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](./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)
|
||||
|
||||
> **Preferisci clonare localmente?**
|
||||
|
||||
> Questo repository include più di 50 traduzioni linguistiche che aumentano significativamente la dimensione del download. Per clonare senza traduzioni, usa il 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'
|
||||
> ```
|
||||
> Questo ti fornirà tutto il necessario per completare il corso con un download molto più veloce.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Se desideri avere ulteriori traduzioni le lingue supportate sono elencate [qui](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Se desideri che vengano supportate altre lingue di traduzione, sono elencate [qui](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Unisciti alla comunità
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
## Unisciti alla Comunità
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Cosa imparerai
|
||||
|
||||
**[Mappa mentale del corso](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
In questo curriculum imparerai:
|
||||
In questo curriculum, imparerai:
|
||||
|
||||
* Diversi approcci all'Intelligenza Artificiale, incluso il "buon vecchio" approccio simbolico con **Rappresentazione della conoscenza** e ragionamento ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* Diversi approcci all'Intelligenza Artificiale, incluso il vecchio e valido approccio simbolico con la **Rappresentazione della Conoscenza** e il ragionamento ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Reti Neurali** e **Deep Learning**, che sono al cuore dell'IA moderna. Illustreremo i concetti dietro questi importanti argomenti usando codice in due dei framework più popolari - [TensorFlow](http://Tensorflow.org) e [PyTorch](http://pytorch.org).
|
||||
* **Architetture neurali** per lavorare con immagini e testo. Copriremo modelli recenti ma potremmo essere un po' carenti rispetto allo stato dell'arte.
|
||||
* Approcci meno diffusi dell'IA, come **Algoritmi genetici** e **Sistemi multi-agente**.
|
||||
* **Architetture Neurali** per lavorare con immagini e testo. Copriremo modelli recenti ma potremmo essere un po' carenti rispetto allo stato dell'arte.
|
||||
* Approcci di IA meno popolari, come **Algoritmi Genetici** e **Sistemi Multi-Agente**.
|
||||
|
||||
Cosa non tratteremo in questo curriculum:
|
||||
Cosa non copriremo in questo curriculum:
|
||||
|
||||
> [Trova tutte le risorse aggiuntive per questo corso nella nostra raccolta Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Trova tutte le risorse aggiuntive per questo corso nella nostra collezione Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Casi aziendali sull'utilizzo dell'**IA nel business**. Considera di seguire il percorso di apprendimento [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) su Microsoft Learn, o [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), sviluppato in collaborazione con [INSEAD](https://www.insead.edu/).
|
||||
* **Machine Learning classico**, che è ben descritto nel nostro [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Applicazioni pratiche di IA costruite utilizzando **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Per questo, ti consigliamo di iniziare con i moduli di Microsoft Learn per [visione](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [elaborazione del linguaggio naturale](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[AI Generativa con Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** e altri.
|
||||
* Specifici **framework cloud** per ML, come [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), o [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Considera l'utilizzo dei percorsi di apprendimento [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) e [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).
|
||||
* **IA conversazionale** e **chat bot**. Esiste un percorso di apprendimento separato [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), e puoi anche fare riferimento a [questo post del blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) per maggiori dettagli.
|
||||
* **Matematica approfondita** dietro il deep learning. Per questo, raccomandiamo [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) di Ian Goodfellow, Yoshua Bengio e Aaron Courville, che è anche disponibile online su [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Casi aziendali sull'uso di **IA nel Business**. Considera di seguire il percorso formativo [Introduzione all'IA per utenti aziendali](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) su Microsoft Learn, o la [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), sviluppata in collaborazione con [INSEAD](https://www.insead.edu/).
|
||||
* **Machine Learning classico**, bene descritto nel nostro [Curriculum Machine Learning per Principianti](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Applicazioni pratiche di IA costruite usando i **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Per questo, consigliamo di iniziare dai moduli Microsoft Learn su [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [elaborazione del linguaggio naturale](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI con Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** e altri.
|
||||
* Specifici **framework cloud per ML**, come [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), o [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Considera l'uso dei percorsi formativi [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) e [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).
|
||||
* **IA conversazionale** e **Chat Bot**. Esiste un percorso formativo separato [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), e puoi anche fare riferimento a [questo post sul blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) per maggiori dettagli.
|
||||
* **Matematica avanzata** dietro al deep learning. Per questo, consigliamo [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) di Ian Goodfellow, Yoshua Bengio e Aaron Courville, disponibile anche online su [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Per un'introduzione graduale agli argomenti _IA nel cloud_ puoi considerare di seguire il percorso di apprendimento [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).
|
||||
Per un’introduzione leggera agli argomenti di _IA nel Cloud_ potresti considerare di seguire il percorso formativo [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).
|
||||
|
||||
# Contenuto
|
||||
|
||||
| | Link della lezione | PyTorch/Keras/TensorFlow | Laboratorio |
|
||||
| | Link alla Lezione | PyTorch/Keras/TensorFlow | Laboratorio |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Configurazione del corso](./lessons/0-course-setup/setup.md) | [Configura il tuo ambiente di sviluppo](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| 0 | [Impostazione del Corso](./lessons/0-course-setup/setup.md) | [Configura il tuo ambiente di sviluppo](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Introduzione all'IA**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Introduzione e storia dell'IA](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **IA simbolica** |
|
||||
| 02 | [Rappresentazione della conoscenza e Sistemi esperti](./lessons/2-Symbolic/README.md) | [Sistemi esperti](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Grafo concettuale](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Introduzione alle reti neurali**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratorio](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Perceptrone multistrato e creazione del nostro framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorio](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Introduzione ai framework (PyTorch/TensorFlow) e sovradattamento](./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) | [Laboratorio](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| 01 | [Introduzione e Storia dell'IA](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **IA Simbolica** |
|
||||
| 02 | [Rappresentazione della Conoscenza e Sistemi Esperti](./lessons/2-Symbolic/README.md) | [Sistemi Esperti](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Grafo Concettuale](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Introduzione alle Reti Neurali**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Perceptron Multistrato e Creazione del nostro 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 | [Introduzione ai Framework (PyTorch/TensorFlow) e 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 | [**Visione Artificiale**](./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)| [Esplora la Visione Artificiale su Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Introduzione alla Computer Vision. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratorio](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Reti Neurali Convoluzionali](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Architetture 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) | [Laboratorio](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Reti pre-addestrate e apprendimento per trasferimento](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Trucchi di addestramento](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorio](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 06 | [Introduzione alla Visione Artificiale. 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 | [Reti Neurali Convoluzionali](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Architetture CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Reti Pre-Addestrate e Apprendimento per Trasferimento](./lessons/4-ComputerVision/08-TransferLearning/README.md) e [Trucchi per l’Addestramento](./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 | [Autoencoder e 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 | [Reti Generative Avversarie & Trasferimento di Stile Artistico](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Rilevamento oggetti](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorio](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 10 | [Reti Generative Avversarie e Trasferimento di Stile Artistico](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Rilevamento Oggetti](./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 | [Segmentazione Semantica. 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 | [**Elaborazione del Linguaggio Naturale**](./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) | [Esplora l'elaborazione del linguaggio naturale su Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Rappresentazione del testo. 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 | [Embedding semantici delle parole. Word2Vec e 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 | [Modellazione del linguaggio. Addestrare i propri embedding](./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) | [Laboratorio](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| V | [**Elaborazione del Linguaggio Naturale**](./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) | [Esplora l'Elaborazione del Linguaggio Naturale su Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Rappresentazione del Testo. 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 | [Embeddings semantici delle parole. Word2Vec e 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 | [Modellazione del linguaggio. Addestramento dei propri 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 | [Reti Neurali Ricorrenti](./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 | [Reti Ricorrenti Generative](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Laboratorio](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 17 | [Reti Ricorrenti Generative](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [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 | [Riconoscimento delle entità nominate](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratorio](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Grandi modelli linguistici, programmazione dei prompt e compiti 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 | **Altre tecniche di IA** || |
|
||||
| 21 | [Algoritmi genetici](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Apprendimento per rinforzo profondo](./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) | [Laboratorio](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Sistemi multi-agente](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| 19 | [Riconoscimento Entità Nomeate](./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 | [Modelli di Linguaggio di Grande Scala, Programmazione dei Prompt e Compiti 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 | **Altre Tecniche di AI** || |
|
||||
| 21 | [Algoritmi Genetici](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Apprendimento Rinforzato Profondo](./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 | [Sistemi Multi-Agente](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Etica dell'IA** | | |
|
||||
| 24 | [Etica dell'IA e IA responsabile](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principi per un'IA responsabile](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| 24 | [Etica dell'IA e IA Responsabile](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principi di IA Responsabile](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Extra** | | |
|
||||
| 25 | [Reti multimodali, CLIP e VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [Reti Multi-Modali, CLIP e VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Ogni lezione contiene
|
||||
|
||||
* Materiale di lettura preliminare
|
||||
* Notebook Jupyter eseguibili, spesso specifici per il framework (**PyTorch** o **TensorFlow**). Il notebook eseguibile contiene anche molto materiale teorico, quindi per comprendere l'argomento è necessario consultare almeno una versione del notebook (o PyTorch o TensorFlow).
|
||||
* **Laboratori** disponibili per alcuni argomenti, che offrono l'opportunità di provare ad applicare il materiale appreso a un problema specifico.
|
||||
* Alcune sezioni contengono link a [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moduli che coprono argomenti correlati.
|
||||
* Materiale di pre-lettura
|
||||
* Jupyter Notebooks eseguibili, spesso specifici per il framework (**PyTorch** o **TensorFlow**). Il notebook eseguibile contiene anche molto materiale teorico, quindi per comprendere l'argomento è necessario seguire almeno una versione del notebook (PyTorch o TensorFlow).
|
||||
* **Lab** disponibili per alcuni argomenti, che offrono l'opportunità di provare ad applicare il materiale appreso a un problema specifico.
|
||||
* Alcune sezioni contengono link ai moduli di [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) che trattano argomenti correlati.
|
||||
|
||||
## Per iniziare
|
||||
|
||||
### 🎯 Nuovo nell'IA? Inizia qui!
|
||||
### 🎯 Nuovo nell'IA? Inizia Qui!
|
||||
|
||||
Se sei completamente nuovo all'IA e vuoi esempi rapidi e pratici, dai un'occhiata ai nostri [**Esempi per principianti**](./examples/README.md)! Questi includono:
|
||||
Se sei completamente nuovo nell'IA e vuoi esempi rapidi e pratici, dai un'occhiata ai nostri [**Esempi per Principianti**](./examples/README.md)! Questi includono:
|
||||
|
||||
- 🌟 **Hello AI World** - Il tuo primo programma di IA (riconoscimento di pattern)
|
||||
- 🧠 **Simple Neural Network** - Costruisci una rete neurale da zero
|
||||
- 🖼️ **Image Classifier** - Classifica immagini con commenti dettagliati
|
||||
- 💬 **Sentiment del testo** - Analizza testo positivo/negativo
|
||||
- 🧠 **Rete Neurale Semplice** - Costruisci una rete neurale da zero
|
||||
- 🖼️ **Classificatore di Immagini** - Classifica immagini con commenti dettagliati
|
||||
- 💬 **Sentimento del Testo** - Analizza testo positivo/negativo
|
||||
|
||||
These examples are designed to help you understand AI concepts before diving into the full curriculum.
|
||||
Questi esempi sono progettati per aiutarti a comprendere i concetti di AI prima di immergerti nel curriculum completo.
|
||||
|
||||
### 📚 Configurazione del curriculum completo
|
||||
### 📚 Configurazione del Curriculum Completo
|
||||
|
||||
- Abbiamo creato una [setup lesson](./lessons/0-course-setup/setup.md) per aiutarti con l'impostazione del tuo ambiente di sviluppo. - For Educators, we have created a [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) for you too!
|
||||
- How to [Run the code in a VSCode or a Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
- Abbiamo creato una [lezione di configurazione](./lessons/0-course-setup/setup.md) per aiutarti con l'impostazione del tuo ambiente di sviluppo. - Per gli educatori, abbiamo creato anche una [lezione di configurazione del curriculum](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Come [Eseguire il codice in VSCode o Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Follow these steps:
|
||||
Segui questi passaggi:
|
||||
|
||||
Fork the Repository: Click on the "Fork" button at the top-right corner of this page.
|
||||
Fork del Repository: Clicca sul pulsante "Fork" in alto a destra di questa pagina.
|
||||
|
||||
Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Clona il Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Don't forget to star (🌟) this repo to find it easier later.
|
||||
Non dimenticare di mettere una stella (🌟) a questo repository per trovarlo più facilmente in seguito.
|
||||
|
||||
## Incontra altri studenti
|
||||
## Incontra altri Studenti
|
||||
|
||||
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.
|
||||
Unisciti al nostro [server Discord ufficiale sull'AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) per incontrare e fare rete con altri studenti che seguono questo corso e ricevere supporto.
|
||||
|
||||
If you have product feedback or questions whilst building visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
Se hai feedback sul prodotto o domande durante lo sviluppo visita il nostro [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Quiz
|
||||
|
||||
> **Una nota sui quiz**: Tutti i quiz sono contenuti nella cartella Quiz-app in etc\quiz-app, o [Online qui](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.
|
||||
> **Una nota sui quiz**: Tutti i quiz sono contenuti nella cartella Quiz-app in etc\quiz-app, o [Online Qui](https://ff-quizzes.netlify.app/) Sono collegati dalle lezioni, l'app del quiz può essere eseguita localmente o distribuita su Azure; segui le istruzioni nella cartella `quiz-app`. Stanno gradualmente venendo localizzati.
|
||||
|
||||
## Aiuto richiesto
|
||||
## Aiuto Richiesto
|
||||
|
||||
Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request.
|
||||
Hai suggerimenti o hai trovato errori di ortografia o di codice? Apri un issue o crea una pull request.
|
||||
|
||||
## Ringraziamenti speciali
|
||||
## Ringraziamenti Speciali
|
||||
|
||||
* **✍️ Autore principale:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **✍️ Autore Principale:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Editore:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Illustratore degli sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Creatore dei quiz:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Collaboratori principali:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **🎨 Illustratrice Sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Creatrice dei Quiz:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Contributor Principali:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Altri curricula
|
||||
## Altri Curricula
|
||||
|
||||
Our team produces other curricula! Check out:
|
||||
Il nostro team produce altri curricula! Dai un’occhiata a:
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Serie Generative AI
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### Serie su AI Generativa
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Apprendimento di base
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### Apprendimento Base
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Serie Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## Ottenere aiuto
|
||||
## Ricevere Aiuto
|
||||
|
||||
Se rimani bloccato o hai domande sulla creazione di app per l'IA. Unisciti ad altri studenti e sviluppatori esperti nelle discussioni su MCP. È una community di supporto dove le domande sono benvenute e le conoscenze vengono condivise liberamente.
|
||||
Se rimani bloccato o hai domande sulla creazione di app AI. Unisciti a studenti e sviluppatori esperti nelle discussioni su MCP. È una comunità di supporto dove le domande sono benvenute e la conoscenza viene condivisa liberamente.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
If you have product feedback or errors while building visit:
|
||||
Se hai feedback sul prodotto o errori durante lo sviluppo visita:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Dichiarazione di non responsabilità**:
|
||||
Questo documento è stato tradotto utilizzando il servizio di traduzione automatica [Co-op Translator](https://github.com/Azure/co-op-translator). Pur impegnandoci per l'accuratezza, si prega di notare che le traduzioni automatiche potrebbero contenere errori o imprecisioni. Il documento originale nella sua lingua nativa deve essere considerato la fonte autorevole. Per informazioni critiche, si raccomanda una traduzione professionale effettuata da un traduttore umano. Non siamo responsabili per eventuali incomprensioni o interpretazioni errate derivanti dall'uso di questa traduzione.
|
||||
**Disclaimer**:
|
||||
Questo documento è stato tradotto utilizzando il servizio di traduzione automatica AI [Co-op Translator](https://github.com/Azure/co-op-translator). Pur impegnandoci per garantire l’accuratezza, si prega di considerare che le traduzioni automatiche possono contenere errori o imprecisioni. Il documento originale nella sua lingua originale deve essere considerato la fonte autorevole. Per informazioni critiche, si raccomanda una traduzione professionale effettuata da un traduttore umano. Non ci assumiamo alcuna responsabilità per eventuali malintesi o interpretazioni errate derivanti dall’uso di questa traduzione.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,168 +1,178 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "14816e97d79b296c87811724f7785923",
|
||||
"translation_date": "2026-01-01T11:37:06+00:00",
|
||||
"original_hash": "0dc6311637b811abb415a936669d7e76",
|
||||
"translation_date": "2026-01-05T15:22:18+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "pl"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Sztuczna inteligencja dla początkujących - Program nauczania
|
||||
# Artificial Intelligence for Beginners - Program nauczania
|
||||
|
||||
||
|
||||
||
|
||||
|:---:|
|
||||
| AI dla początkujących - _Sketchnote autorstwa [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| AI For Beginners - _Sketchnotka autorstwa [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Poznaj świat **Sztucznej Inteligencji** (SI) dzięki naszemu 12-tygodniowemu programowi nauczania składającemu się z 24 lekcji! Zawiera praktyczne lekcje, quizy i laboratoria. Program jest przyjazny dla początkujących i obejmuje narzędzia takie jak TensorFlow i PyTorch, a także etykę w AI
|
||||
Odkryj świat **Sztucznej Inteligencji** (AI) z naszym 12-tygodniowym, 24-lekcyjnym programem nauczania! Zawiera on praktyczne lekcje, quizy i laboratoria. Program jest przyjazny dla początkujących i obejmuje narzędzia takie jak TensorFlow i PyTorch oraz zagadnienia etyczne w AI.
|
||||
|
||||
### 🌐 Wsparcie wielojęzyczne
|
||||
|
||||
#### Wsparcie przez GitHub Action (zautomatyzowane i zawsze aktualne)
|
||||
#### Wspierane przez GitHub Action (Automatyczne i zawsze aktualne)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabski](../ar/README.md) | [Bengalski](../bn/README.md) | [Bułgarski](../bg/README.md) | [Birmański (Myanmar)](../my/README.md) | [Chiński (uproszczony)](../zh/README.md) | [Chiński (tradycyjny, Hong Kong)](../hk/README.md) | [Chiński (tradycyjny, Macau)](../mo/README.md) | [Chiński (tradycyjny, Taiwan)](../tw/README.md) | [Chorwacki](../hr/README.md) | [Czeski](../cs/README.md) | [Duński](../da/README.md) | [Holenderski](../nl/README.md) | [Estoński](../et/README.md) | [Fiński](../fi/README.md) | [Francuski](../fr/README.md) | [Niemiecki](../de/README.md) | [Grecki](../el/README.md) | [Hebrajski](../he/README.md) | [Hindi](../hi/README.md) | [Węgierski](../hu/README.md) | [Indonezyjski](../id/README.md) | [Włoski](../it/README.md) | [Japoński](../ja/README.md) | [Kannada](../kn/README.md) | [Koreański](../ko/README.md) | [Litewski](../lt/README.md) | [Malajski](../ms/README.md) | [Malajalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalski](../ne/README.md) | [Nigeryjski Pidgin](../pcm/README.md) | [Norweski](../no/README.md) | [Perski (Farsi)](../fa/README.md) | [Polski](./README.md) | [Portugalski (Brazylia)](../br/README.md) | [Portugalski (Portugalia)](../pt/README.md) | [Pendżabski (Gurmukhi)](../pa/README.md) | [Rumuński](../ro/README.md) | [Rosyjski](../ru/README.md) | [Serbski (cyrylica)](../sr/README.md) | [Słowacki](../sk/README.md) | [Słoweński](../sl/README.md) | [Hiszpański](../es/README.md) | [Suahili](../sw/README.md) | [Szwedzki](../sv/README.md) | [Tagalog (Filipiński)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Tajski](../th/README.md) | [Turecki](../tr/README.md) | [Ukraiński](../uk/README.md) | [Urdu](../ur/README.md) | [Wietnamski](../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](./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)
|
||||
|
||||
> **Wolisz klonować lokalnie?**
|
||||
|
||||
> To repozytorium zawiera ponad 50 tłumaczeń, co znacząco zwiększa rozmiar pobierania. Aby sklonować bez tłumaczeń, użyj 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'
|
||||
> ```
|
||||
> W ten sposób uzyskasz wszystko, czego potrzebujesz do ukończenia kursu z dużo szybszym pobraniem.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Jeśli chcesz, aby obsługiwane były dodatkowe języki tłumaczeń, są one wymienione [tutaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Jeśli chcesz, aby dodatkowe języki tłumaczeń były obsługiwane, są one wymienione [tutaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Dołącz do społeczności
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Czego się nauczysz
|
||||
|
||||
**[Mapa myśli kursu](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[Mapa mentalna kursu](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
W tym programie nauczania poznasz:
|
||||
W tym programie nauczania nauczysz się:
|
||||
|
||||
* Różne podejścia do Sztucznej Inteligencji, w tym "stary, dobry" podejście symboliczne z **Reprezentacją wiedzy** i wnioskowaniem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Sieci neuronowe** i **Uczenie głębokie**, które stanowią rdzeń współczesnej SI. Zilustrujemy koncepcje stojące za tymi istotnymi tematami za pomocą kodu w dwóch z najpopularniejszych frameworków - [TensorFlow](http://Tensorflow.org) i [PyTorch](http://pytorch.org).
|
||||
* **Architektury neuronowe** do pracy z obrazami i tekstem. Omówimy niedawne modele, choć mogą one nie być całkowicie aktualne względem najnowszego stanu badań.
|
||||
* Mniej popularne podejścia do AI, takie jak **Algorytmy genetyczne** i **Systemy wieloagentowe**.
|
||||
* Różnych podejść do Sztucznej Inteligencji, w tym "dobrej, starej" podejścia symbolicznego z **Reprezentacją Wiedzy** i wnioskowaniem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Sieci neuronowych** i **uczenia głębokiego**, które są podstawą współczesnej AI. Pokażemy koncepcje stojące za tymi ważnymi tematami za pomocą kodu w dwóch najpopularniejszych frameworkach - [TensorFlow](http://Tensorflow.org) i [PyTorch](http://pytorch.org).
|
||||
* **Architektury neuronowe** do pracy z obrazami i tekstem. Omówimy najnowsze modele, ale mogą one nie być w pełni zgodne ze stanem wiedzy.
|
||||
* Mniej popularne podejścia do AI, takie jak **algorytmy genetyczne** i **systemy wieloagentowe**.
|
||||
|
||||
Czego nie omówimy w tym programie:
|
||||
|
||||
> [Znajdź wszystkie dodatkowe zasoby do tego kursu w naszej kolekcji Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Znajdź wszystkie dodatkowe materiały do tego kursu w naszej kolekcji Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Przypadków biznesowych wykorzystania **SI w biznesie**. Rozważ odbycie ścieżki nauki [Wprowadzenie do SI dla użytkowników biznesowych](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn lub [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), opracowanej we współpracy z [INSEAD](https://www.insead.edu/).
|
||||
* **Klasycznego uczenia maszynowego**, które jest dobrze opisane w naszym [programie nauczania Machine Learning for Beginners](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktycznych zastosowań AI zbudowanych przy użyciu **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. W tym celu zalecamy rozpoczęcie od modułów Microsoft Learn dotyczących [widzenia maszynowego](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [przetwarzania języka naturalnego](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)** i innych.
|
||||
* Konkretnych **chmurowych frameworków ML**, takich jak [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) czy [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Rozważ skorzystanie ze ścieżek nauki [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) oraz [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).
|
||||
* **Rozmownego AI** i **czatbotów**. Istnieje oddzielna ścieżka nauki [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), a także możesz odwołać się do [tego wpisu na blogu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) po więcej szczegółów.
|
||||
* **Głębokiej matematyki** stojącej za uczeniem głębokim. W tym celu polecamy [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autorstwa Iana Goodfellowa, Yoshuy Bengio i Aarona Courville'a, która jest również dostępna online pod adresem [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Przypadków biznesowych zastosowania **AI w biznesie**. Rozważ podjęcie ścieżki nauki [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn lub [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), opracowanej we współpracy z [INSEAD](https://www.insead.edu/).
|
||||
* **Klasycznego uczenia maszynowego**, które jest dobrze opisane w naszym [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktycznych zastosowań AI zbudowanych za pomocą **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. W tym celu zalecamy rozpoczęcie od modułów Microsoft Learn dotyczących [wizji](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [przetwarzania języka naturalnego](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI z Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** i innych.
|
||||
* Specyficznych chmurowych frameworków ML, takich jak [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) lub [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Rozważ skorzystanie ze ścieżek nauki [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) oraz [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 konwersacyjne** i **Chat Boty**. Istnieje osobna ścieżka nauki [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), a także możesz odwołać się do [tego wpisu na blogu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) w celu uzyskania szczegółowych informacji.
|
||||
* **Głębokiej matematyki** stojącej za uczeniem głębokim. W tym celu zalecamy książkę [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autorstwa Iana Goodfellowa, Yoshua Bengio i Aarona Courville'a, która jest również dostępna online pod adresem [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Dla łagodnego wprowadzenia do tematów związanych z _SI w chmurze_ możesz rozważyć odbycie ścieżki nauki [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).
|
||||
Dla łagodnego wprowadzenia do tematów _AI w chmurze_ możesz rozważyć podjęcie ścieżki nauki [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).
|
||||
|
||||
# Zawartość
|
||||
|
||||
| | Link do lekcji | PyTorch/Keras/TensorFlow | Lab |
|
||||
| | Link do lekcji | PyTorch/Keras/TensorFlow | Laboratorium |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Konfiguracja kursu](./lessons/0-course-setup/setup.md) | [Konfiguracja środowiska programistycznego](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Wprowadzenie do SI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Wprowadzenie i historia SI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Symboliczne SI** |
|
||||
| 0 | [Konfiguracja kursu](./lessons/0-course-setup/setup.md) | [Jak skonfigurować środowisko programistyczne](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Wprowadzenie do AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Wprowadzenie i historia AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Symboliczne AI** |
|
||||
| 02 | [Reprezentacja wiedzy i systemy ekspertowe](./lessons/2-Symbolic/README.md) | [Systemy ekspertowe](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf pojęć](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Wprowadzenie do sieci neuronowych**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notatnik](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratorium](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Wielowarstwowy perceptron i tworzenie własnego frameworku](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notatnik](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorium](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Wprowadzenie do frameworków (PyTorch/TensorFlow) i przeuczenie](./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) | [Laboratorium](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Wizja komputerowa**](./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)| [Poznaj wizję komputerową na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Wprowadzenie do wizji komputerowej. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notatnik](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratorium](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Konwolucyjne sieci neuronowe](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Architektury CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratorium](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Sieci wstępnie wytrenowane i uczenie transferowe](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Triki treningowe](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorium](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Wielowarstwowy Perceptron i Tworzenie własnego Frameworku](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Wprowadzenie do Frameworków (PyTorch/TensorFlow) i Przeuczenia](./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 | [**Widzenie Komputerowe**](./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)| [Poznaj Widzenie Komputerowe na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Wprowadzenie do Widzenia Komputerowego. 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 | [Splotowe Sieci Neuronowe](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Architektury CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Sieci wstępnie wytrenowane i Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) oraz [Triki treningowe](./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 | [Autoenkodery i 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 | [Generatywne sieci przeciwstawne i transfer stylu artystycznego](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Wykrywanie obiektów](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorium](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 10 | [Generatywne Sieci Adwersarialne i Transfer Stylu Artystycznego](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Detekcja Obiektów](./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 | [Segmentacja semantyczna. 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 | [**Przetwarzanie języka naturalnego**](./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) | [Poznaj przetwarzanie języka naturalnego na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Reprezentacja tekstu. BoW/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| V | [**Przetwarzanie języka naturalnego**](./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) | [Poznaj Przetwarzanie języka naturalnego na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Reprezentacja tekstu. 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 | [Semantyczne osadzenia słów. Word2Vec i GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Modelowanie języka. Trenowanie własnych osadzeń](./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) | [Laboratorium](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Rekurencyjne sieci neuronowe](./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 | [Generatywne sieci rekurencyjne](./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) | [Laboratorium](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 15 | [Modelowanie języka. Trening własnych osadzeń](./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 | [Rekurencyjne Sieci Neuronowe](./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 | [Generatywne sieci rekurencyjne](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformery. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Rozpoznawanie nazwanych jednostek](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratorium](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 19 | [Rozpoznawanie nazwanych bytów](./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 | [Duże modele językowe, programowanie promptów i zadania 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 | **Inne techniki AI** || |
|
||||
| 21 | [Algorytmy genetyczne](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notatnik](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Głębokie uczenie ze wzmocnieniem](./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) | [Laboratorium](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 21 | [Algorytmy genetyczne](./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 | [Systemy wieloagentowe](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Etyka AI** | | |
|
||||
| 24 | [AI Ethics and Responsible AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Zasady odpowiedzialnej AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| 24 | [Etyka AI i odpowiedzialne AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Zasady odpowiedzialnej AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Dodatki** | | |
|
||||
| 25 | [Sieci multimodalne, CLIP i VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notatnik](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [Sieci multimodalne, CLIP i VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Każda lekcja zawiera
|
||||
|
||||
* Materiały do wstępnej lektury
|
||||
* Wykonywalne notatniki Jupyter, które często są specyficzne dla frameworku (**PyTorch** lub **TensorFlow**). Wykonywalny notatnik zawiera również dużo materiału teoretycznego, więc aby zrozumieć temat musisz przejść przynajmniej jedną wersję notatnika (albo PyTorch, albo TensorFlow).
|
||||
* **Laboratoria** dostępne dla niektórych tematów, które dają możliwość spróbowania zastosowania materiału, którego się nauczyłeś, do konkretnego problemu.
|
||||
* Niektóre sekcje zawierają linki do modułów [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) które obejmują powiązane tematy.
|
||||
* Materiały do wcześniejszej lektury
|
||||
* Wykonalne notatniki Jupyter, które często są specyficzne dla frameworka (**PyTorch** lub **TensorFlow**). Wykonalny notatnik zawiera również dużo materiału teoretycznego, więc aby zrozumieć temat musisz przejść przez co najmniej jedną wersję notatnika (PyTorch lub TensorFlow).
|
||||
* **Laboratoria** dostępne dla niektórych tematów, które dają możliwość wypróbowania materiału w praktycznym zadaniu.
|
||||
* Niektóre sekcje zawierają linki do modułów [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) omawiających powiązane tematy.
|
||||
|
||||
## Rozpoczęcie
|
||||
|
||||
### 🎯 Nowy w AI? Zacznij tutaj!
|
||||
|
||||
Jeśli jesteś zupełnie nowy w AI i chcesz szybkich, praktycznych przykładów, sprawdź nasze [**Przykłady dla początkujących**](./examples/README.md)! Obejmują one:
|
||||
Jeśli jesteś całkowicie nowy w AI i chcesz szybkie, praktyczne przykłady, sprawdź nasze [**Przyjazne dla początkujących przykłady**](./examples/README.md)! Obejmują one:
|
||||
|
||||
- 🌟 **Witaj, świecie AI** - Twój pierwszy program AI (rozpoznawanie wzorców)
|
||||
- 🌟 **Hello AI World** - Twój pierwszy program AI (rozpoznawanie wzorców)
|
||||
- 🧠 **Prosta sieć neuronowa** - Zbuduj sieć neuronową od podstaw
|
||||
- 🖼️ **Klasyfikator obrazów** - Klasyfikuj obrazy ze szczegółowymi komentarzami
|
||||
- 💬 **Sentyment tekstu** - Analiza pozytywnego/negatywnego wydźwięku
|
||||
- 🖼️ **Klasyfikator obrazów** - Klasyfikuj obrazy z obszernymi komentarzami
|
||||
- 💬 **Analiza nastroju tekstu** - Analiza pozytywnego/negatywnego tekstu
|
||||
|
||||
Te przykłady zostały stworzone, aby pomóc Ci zrozumieć koncepcje AI zanim zagłębisz się w pełny program nauczania.
|
||||
Te przykłady mają pomóc Ci zrozumieć koncepcje AI przed zagłębieniem się w pełny program nauczania.
|
||||
|
||||
### 📚 Pełna konfiguracja programu nauczania
|
||||
### 📚 Konfiguracja pełnego programu nauczania
|
||||
|
||||
- Stworzyliśmy [lekcję konfiguracji](./lessons/0-course-setup/setup.md), aby pomóc Ci w ustawieniu środowiska deweloperskiego. - Dla edukatorów stworzyliśmy również [lekcję konfiguracji programu nauczania](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Stworzyliśmy [lekcję wprowadzającą](./lessons/0-course-setup/setup.md), która pomoże Ci w ustawieniu środowiska programistycznego. - Dla nauczycieli przygotowaliśmy również [lekcję konfiguracyjną programu nauczania](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Jak [uruchomić kod w VSCode lub Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Wykonaj następujące kroki:
|
||||
|
||||
Fork the Repository: Kliknij przycisk "Fork" w prawym górnym rogu tej strony.
|
||||
Forkuj repozytorium: Kliknij przycisk „Fork” w prawym górnym rogu tej strony.
|
||||
|
||||
Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Sklonuj repozytorium: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Nie zapomnij dodać gwiazdki (🌟) temu repozytorium, aby łatwiej je znaleźć później.
|
||||
Nie zapomnij dodać gwiazdki (🌟) do tego repozytorium, aby łatwiej je znaleźć później.
|
||||
|
||||
## Poznaj innych uczestników
|
||||
## Poznaj innych uczniów
|
||||
|
||||
Dołącz do naszego [oficjalnego serwera Discord AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), aby spotkać się i nawiązać kontakty z innymi uczestnikami tego kursu oraz uzyskać wsparcie.
|
||||
Dołącz do naszego [oficjalnego serwera Discord AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), aby poznać i nawiązać kontakty z innymi uczestnikami kursu oraz uzyskać wsparcie.
|
||||
|
||||
Jeśli masz uwagi dotyczące produktu lub pytania podczas tworzenia, odwiedź nasze [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
Jeśli masz uwagi dotyczące produktu lub pytania podczas tworzenia, odwiedź nasz [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Quizy
|
||||
## Quizy
|
||||
|
||||
> **Uwaga o quizach**: Wszystkie quizy znajdują się w folderze Quiz-app w etc\quiz-app, lub [Online tutaj](https://ff-quizzes.netlify.app/) Są one powiązane z lekcjami; aplikację quizową można uruchomić lokalnie lub wdrożyć do Azure; postępuj zgodnie z instrukcjami w folderze `quiz-app`. Są one stopniowo lokalizowane.
|
||||
> **Informacja o quizach**: Wszystkie quizy znajdują się w folderze Quiz-app w etc\quiz-app lub [dostępne online tutaj](https://ff-quizzes.netlify.app/). Są one powiązane z lekcjami, aplikację quizów można uruchomić lokalnie lub wdrożyć na Azure; postępuj zgodnie z instrukcjami w folderze `quiz-app`. Stopniowo są one lokalizowane.
|
||||
|
||||
## Szukamy pomocy
|
||||
## Potrzebna pomoc
|
||||
|
||||
Masz sugestie albo znalazłeś błędy ortograficzne lub w kodzie? Zgłoś issue lub utwórz pull request.
|
||||
Masz sugestie lub znalazłeś błędy ortograficzne czy w kodzie? Zgłoś problem lub stwórz pull request.
|
||||
|
||||
## Szczególne podziękowania
|
||||
## Podziękowania
|
||||
|
||||
* **✍️ Główny autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Redaktor:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Ilustratorka sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **🎨 Ilustrator notatek szkicowych:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Twórca quizów:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Główni współtwórcy:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Inne programy nauczania
|
||||
|
||||
Nasz zespół tworzy inne programy nauczania! Zobacz:
|
||||
Nasz zespół tworzy inne programy nauczania! Sprawdź:
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
|
|
@ -178,17 +188,17 @@ Nasz zespół tworzy inne programy nauczania! Zobacz:
|
|||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Seria Generatywnej AI
|
||||
|
||||
### Seria Generative AI
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Podstawowe kursy
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
### Podstawowe nauczanie
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
|
|
@ -197,26 +207,26 @@ Nasz zespół tworzy inne programy nauczania! Zobacz:
|
|||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
|
||||
### Seria Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## Uzyskiwanie pomocy
|
||||
## Uzyskaj pomoc
|
||||
|
||||
Jeśli utkniesz lub masz pytania dotyczące tworzenia aplikacji AI — dołącz do innych uczestników i doświadczonych deweloperów w dyskusjach o MCP. To wspierająca społeczność, w której pytania są mile widziane, a wiedza jest chętnie dzielona.
|
||||
Jeśli utkniesz lub masz pytania dotyczące budowania aplikacji AI, dołącz do innych uczniów i doświadczonych programistów w dyskusjach na temat MCP. To wspierająca społeczność, gdzie pytania są mile widziane, a wiedza jest swobodnie dzielona.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Jeśli masz uwagi dotyczące produktu lub wystąpiły błędy podczas tworzenia, odwiedź:
|
||||
Jeśli masz uwagi dotyczące produktu lub błędy podczas tworzenia, odwiedź:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
Zastrzeżenie:
|
||||
Niniejszy dokument został przetłumaczony z wykorzystaniem usługi tłumaczeń AI [Co-op Translator](https://github.com/Azure/co-op-translator). Chociaż dokładamy starań, aby tłumaczenie było jak najdokładniejsze, prosimy pamiętać, że automatyczne tłumaczenia mogą zawierać błędy lub nieścisłości. Oryginalny dokument w języku źródłowym powinien być uznawany za źródło wiążące. W przypadku informacji istotnych zaleca się skorzystanie z profesjonalnego tłumaczenia wykonanego przez tłumacza. Nie ponosimy odpowiedzialności za jakiekolwiek nieporozumienia lub błędne interpretacje wynikające z korzystania z tego tłumaczenia.
|
||||
**Zastrzeżenie**:
|
||||
Niniejszy dokument został przetłumaczony przy użyciu usługi tłumaczeń AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mimo że dążymy do dokładności, prosimy mieć na uwadze, że automatyczne tłumaczenia mogą zawierać błędy lub nieścisłości. Oryginalny dokument w języku źródłowym należy traktować jako źródło wiarygodne. W przypadku informacji krytycznych zalecane jest skorzystanie z profesjonalnego tłumaczenia wykonanego przez człowieka. Nie ponosimy odpowiedzialności za jakiekolwiek nieporozumienia lub błędne interpretacje wynikające z użycia tego tłumaczenia.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,21 +1,21 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "14816e97d79b296c87811724f7785923",
|
||||
"translation_date": "2026-01-01T11:19:37+00:00",
|
||||
"original_hash": "0dc6311637b811abb415a936669d7e76",
|
||||
"translation_date": "2026-01-05T15:13:35+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "pt"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
|
|
@ -23,22 +23,31 @@ CO_OP_TRANSLATOR_METADATA:
|
|||
|
||||
# Inteligência Artificial para Iniciantes - Um Currículo
|
||||
|
||||
||
|
||||
||
|
||||
|:---:|
|
||||
| Inteligência Artificial para Iniciantes - _Sketchnote por [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Explore o mundo da **Inteligência Artificial** (IA) com o nosso currículo de 12 semanas e 24 aulas! Inclui aulas práticas, questionários e laboratórios. O currículo é adequado para iniciantes e abrange ferramentas como TensorFlow e PyTorch, bem como ética em IA
|
||||
|
||||
Explore o mundo da **Inteligência Artificial** (IA) com o nosso currículo de 12 semanas e 24 lições! Inclui lições práticas, questionários e laboratórios. O currículo é amigável para iniciantes e cobre ferramentas como TensorFlow e PyTorch, assim como ética na IA.
|
||||
|
||||
### 🌐 Suporte Multilíngue
|
||||
|
||||
#### Suportado via GitHub Action (Automatizado e Sempre Atualizado)
|
||||
#### Suportado via GitHub Action (Automatizado & Sempre Atualizado)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Árabe](../ar/README.md) | [Bengali](../bn/README.md) | [Búlgaro](../bg/README.md) | [Burmês (Myanmar)](../my/README.md) | [Chinês (Simplificado)](../zh/README.md) | [Chinês Tradicional (Hong Kong)](../hk/README.md) | [Chinês Tradicional (Macau)](../mo/README.md) | [Chinês Tradicional (Taiwan)](../tw/README.md) | [Croata](../hr/README.md) | [Checo](../cs/README.md) | [Dinamarquês](../da/README.md) | [Holandês](../nl/README.md) | [Estónio](../et/README.md) | [Finlandês](../fi/README.md) | [Francês](../fr/README.md) | [Alemão](../de/README.md) | [Grego](../el/README.md) | [Hebraico](../he/README.md) | [Hindi](../hi/README.md) | [Húngaro](../hu/README.md) | [Indonésio](../id/README.md) | [Italiano](../it/README.md) | [Japonês](../ja/README.md) | [Kannada](../kn/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malaio](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalês](../ne/README.md) | [Pidgin Nigeriano](../pcm/README.md) | [Norueguês](../no/README.md) | [Persa (Farsi)](../fa/README.md) | [Polaco](../pl/README.md) | [Português (Brasil)](../br/README.md) | [Português (Portugal)](./README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romeno](../ro/README.md) | [Russo](../ru/README.md) | [Sérvio (Cirílico)](../sr/README.md) | [Eslovaco](../sk/README.md) | [Esloveno](../sl/README.md) | [Espanhol](../es/README.md) | [Suaíli](../sw/README.md) | [Sueco](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tâmil](../ta/README.md) | [Telugu](../te/README.md) | [Tailandês](../th/README.md) | [Turco](../tr/README.md) | [Ucraniano](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md)
|
||||
[Árabe](../ar/README.md) | [Bengali](../bn/README.md) | [Búlgaro](../bg/README.md) | [Birmanês (Myanmar)](../my/README.md) | [Chinês (Simplificado)](../zh/README.md) | [Chinês (Tradicional, Hong Kong)](../hk/README.md) | [Chinês (Tradicional, Macau)](../mo/README.md) | [Chinês (Tradicional, Taiwan)](../tw/README.md) | [Croata](../hr/README.md) | [Checo](../cs/README.md) | [Dinamarquês](../da/README.md) | [Holandês](../nl/README.md) | [Estónio](../et/README.md) | [Finlandês](../fi/README.md) | [Francês](../fr/README.md) | [Alemão](../de/README.md) | [Grego](../el/README.md) | [Hebraico](../he/README.md) | [Hindi](../hi/README.md) | [Húngaro](../hu/README.md) | [Indonésio](../id/README.md) | [Italiano](../it/README.md) | [Japonês](../ja/README.md) | [Kannada](../kn/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malaio](../ms/README.md) | [Malaiala](../ml/README.md) | [Marata](../mr/README.md) | [Nepali](../ne/README.md) | [Pidgin Nigeriano](../pcm/README.md) | [Norueguês](../no/README.md) | [Persa (Farsi)](../fa/README.md) | [Polaco](../pl/README.md) | [Português (Brasil)](../br/README.md) | [Português (Portugal)](./README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romeno](../ro/README.md) | [Russo](../ru/README.md) | [Sérvio (Cirílico)](../sr/README.md) | [Eslovaco](../sk/README.md) | [Esloveno](../sl/README.md) | [Espanhol](../es/README.md) | [Suaíli](../sw/README.md) | [Sueco](../sv/README.md) | [Tagalo (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Tailandês](../th/README.md) | [Turco](../tr/README.md) | [Ucraniano](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md)
|
||||
|
||||
> **Prefere Clonar Localmente?**
|
||||
|
||||
> Este repositório inclui 50+ traduções de idiomas que aumentam significativamente o tamanho do download. Para clonar sem traduções, use 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'
|
||||
> ```
|
||||
> Isto fornece tudo o que precisa para completar o curso com um download muito mais rápido.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Se desejar que sejam suportados idiomas adicionais, estão listados [aqui](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Se desejar suportar línguas de tradução adicionais, estão listadas [aqui](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Junte-se à Comunidade
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
|
@ -49,116 +58,116 @@ Explore o mundo da **Inteligência Artificial** (IA) com o nosso currículo de 1
|
|||
|
||||
Neste currículo, irá aprender:
|
||||
|
||||
* Diferentes abordagens à Inteligência Artificial, incluindo a abordagem simbólica "do bom e velho" com **Representação do Conhecimento** e raciocínio ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Redes Neuronais** e **Aprendizagem Profunda**, que estão no cerne da IA moderna. Iremos ilustrar os conceitos por trás destes tópicos importantes usando código em dois dos frameworks mais populares - [TensorFlow](http://Tensorflow.org) e [PyTorch](http://pytorch.org).
|
||||
* **Arquiteturas Neurais** para trabalhar com imagens e texto. Cobriremos modelos recentes, mas poderemos estar um pouco aquém do estado da arte.
|
||||
* Abordagens de IA menos populares, como **Algoritmos Genéticos** e **Sistemas Multi-Agente**.
|
||||
* Diferentes abordagens à Inteligência Artificial, incluindo a abordagem "antiga" simbólica com **Representação do Conhecimento** e raciocínio ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Redes Neurais** e **Aprendizagem Profunda**, que estão no centro da IA moderna. Iremos ilustrar os conceitos por trás destes tópicos importantes usando código em dois dos frameworks mais populares - [TensorFlow](http://Tensorflow.org) e [PyTorch](http://pytorch.org).
|
||||
* **Arquiteturas Neurais** para trabalhar com imagens e texto. Cobriremos modelos recentes, embora possam não estar totalmente atualizados com o estado da arte.
|
||||
* Abordagens de IA menos populares, como **Algoritmos Genéticos** e **Sistemas Multi-Agentes**.
|
||||
|
||||
O que não iremos cobrir neste currículo:
|
||||
O que não será coberto neste currículo:
|
||||
|
||||
> [Encontre todos os recursos adicionais para este curso na nossa coleção Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Encontre todos os recursos adicionais deste curso na nossa coleção Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Casos de uso de **IA nos Negócios**. Considere realizar o percurso de aprendizagem [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) no Microsoft Learn, ou a [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), desenvolvida em cooperação com [INSEAD](https://www.insead.edu/).
|
||||
* **Aprendizagem de Máquina Clássica**, que está bem descrita no nosso [Currículo de Aprendizagem de Máquina para Iniciantes](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Aplicações práticas de IA construídas usando **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Para isto, recomendamos que comece com módulos do Microsoft Learn para [visão](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [processamento de linguagem natural](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[IA Generativa com Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** e outros.
|
||||
* **Frameworks de Cloud específicos para ML**, tais como [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), ou [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Considere usar os percursos de aprendizagem [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) e [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).
|
||||
* **IA Conversacional** e **Chat Bots**. Existe um percurso de aprendizagem separado [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), e pode também consultar [este artigo do blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) para mais detalhes.
|
||||
* **Matemática Avançada** por trás do deep learning. Para isto, recomendamos [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) de Ian Goodfellow, Yoshua Bengio e Aaron Courville, que também está disponível online em [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Casos de uso empresarial de **IA nos Negócios**. Considere fazer o caminho de aprendizagem [Introdução à IA para utilizadores de negócios](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn, ou a [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), desenvolvida em cooperação com a [INSEAD](https://www.insead.edu/).
|
||||
* **Aprendizagem Automática Clássica**, que está bem descrita no nosso [Currículo de Aprendizagem Automática para Iniciantes](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Aplicações práticas de IA construídas com **[Serviços Cognitivos](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Para isto, recomendamos que comece pelos módulos Microsoft Learn para [visão](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [processamento de linguagem natural](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[IA Generativa com Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** e outros.
|
||||
* **Frameworks Específicos de Aprendizagem Automática na Nuvem**, como o [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), ou [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Considere utilizar os caminhos de aprendizagem [Construir e operar soluções de machine learning com Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) e [Construir e operar soluções de Aprendizagem Automática com Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **IA Conversacional** e **Chat Bots**. Há um caminho de aprendizagem separado [Criar soluções de IA conversacional](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), poderá também consultar [este post no blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) para mais detalhes.
|
||||
* **Matemática Avançada** por trás do deep learning. Para isso, recomendamos [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) de Ian Goodfellow, Yoshua Bengio e Aaron Courville, que também está disponível online em [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Para uma introdução suave aos tópicos de _IA na Cloud_, pode considerar realizar o Percurso de Aprendizagem [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).
|
||||
Para uma introdução suave a tópicos de _IA na Nuvem_, pode considerar seguir o caminho de aprendizagem [Começar com inteligência artificial no Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Conteúdo
|
||||
|
||||
| | Link da Aula | PyTorch/Keras/TensorFlow | Laboratório |
|
||||
| | Link da Lição | PyTorch/Keras/TensorFlow | Laboratório |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Configuração do Curso](./lessons/0-course-setup/setup.md) | [Configurar o Seu Ambiente de Desenvolvimento](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| 0 | [Configuração do Curso](./lessons/0-course-setup/setup.md) | [Configure o Seu Ambiente de Desenvolvimento](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Introdução à IA**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Introdução e História da IA](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **IA Simbólica** |
|
||||
| 02 | [Representação do Conhecimento e Sistemas Especialistas](./lessons/2-Symbolic/README.md) | [Sistemas Especialistas](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Grafo de Conceitos](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Introdução às Redes Neuronais**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratório](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Perceptron Multicamadas e Criação do nosso próprio framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratório](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Introdução a frameworks (PyTorch/TensorFlow) e Sobreajuste](./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) | [Laboratório](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Visão Computacional**](./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 a Visão Computacional no Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Introdução à Visão Computacional. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratório](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Redes Neuronais Convolucionais](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arquiteturas de 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) | [Laboratório](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Redes Pré-treinadas e Transferência de Aprendizagem](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Truques de Treino](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratório](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| III | [**Introdução às Redes Neurais**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Caderno](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratório](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Perceptron Multi-Camada e Criação do nosso Próprio Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Caderno](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratório](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Introdução a Frameworks (PyTorch/TensorFlow) e Sobreajuste](./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) | [Laboratório](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Visão Computacional**](./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 Visão Computacional na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Introdução à Visão Computacional. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Caderno](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratório](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Redes Neuronais Convolucionais](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arquiteturas 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) | [Laboratório](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Redes Pré-treinadas e Transferência de Aprendizagem](./lessons/4-ComputerVision/08-TransferLearning/README.md) e [Truques de Treino](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratório](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoencoders e 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 | [Redes Generativas Adversariais e Transferência de Estilo Artístico](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 10 | [Redes Gerativas Adversárias e Transferência de Estilo Artístico](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Deteção de Objetos](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratório](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Segmentação Semântica. 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 | [**Processamento de Linguagem Natural**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Explore o Processamento de Linguagem Natural no Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Representação de Texto. 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 | [Embeddings semânticos de palavras. Word2Vec e 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 | [Modelação de Linguagem. Treinar os seus próprios 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) | [Laboratório](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| V | [**Processamento de Linguagem Natural**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Explore Processamento de Linguagem Natural na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Representação de Texto. 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 | [Embedding Semânticos de Palavras. Word2Vec e 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 | [Modelagem de Linguagem. Treinando os seus próprios 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) | [Laboratório](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Redes Neuronais Recorrentes](./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 | [Redes Recorrentes Generativas](./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) | [Laboratório](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 17 | [Redes Recorrentes Gerativas](./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) | [Laboratório](./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 | [Reconhecimento de Entidades Nomeadas](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratório](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Modelos de Linguagem de Grande Escala, Programação de Prompts e Tarefas 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) | |
|
||||
| 20 | [Modelos de Linguagem em Grande Escala, Programação de Prompts e Tarefas 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 | **Outras Técnicas de IA** || |
|
||||
| 21 | [Algoritmos Genéticos](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Aprendizagem por Reforço Profundo](./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) | [Laboratório](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Sistemas Multiagente](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Ética da IA** | | |
|
||||
| 24 | [Ética da IA e IA Responsável](./lessons/7-Ethics/README.md) | [Microsoft Learn: Princípios de IA Responsável](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| 21 | [Algoritmos Genéticos](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Caderno](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Aprendizagem por Reforço Profunda](./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) | [Laboratório](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Sistemas Multi-Agente](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Ética na IA** | | |
|
||||
| 24 | [Ética na IA e IA Responsável](./lessons/7-Ethics/README.md) | [Microsoft Learn: Princípios de IA Responsável](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Extras** | | |
|
||||
| 25 | [Redes Multimodais, CLIP e VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 25 | [Redes Multi-Modais, CLIP e VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Caderno](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Cada lição contém
|
||||
## Cada aula contém
|
||||
|
||||
* Material de pré-leitura
|
||||
* Notebooks Jupyter executáveis, que são frequentemente específicos ao framework (**PyTorch** ou **TensorFlow**). O notebook executável também contém muito material teórico, por isso, para compreender o tópico precisa de percorrer pelo menos uma versão do notebook (ou PyTorch ou TensorFlow).
|
||||
* **Labs** disponíveis para alguns tópicos, que lhe dão a oportunidade de tentar aplicar o material que aprendeu a um problema específico.
|
||||
* Algumas secções contêm ligações para módulos do [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) que abordam tópicos relacionados.
|
||||
* Cadernos Jupyter executáveis, frequentemente específicos do framework (**PyTorch** ou **TensorFlow**). O caderno executável contém também muito material teórico, pelo que para perceber o tópico deve explorar pelo menos uma versão do caderno (PyTorch ou TensorFlow).
|
||||
* **Laboratórios** disponíveis para alguns temas, que oferecem uma oportunidade para aplicar o material aprendido a um problema específico.
|
||||
* Algumas secções contêm links para módulos [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) que abordam tópicos relacionados.
|
||||
|
||||
## Primeiros Passos
|
||||
## Começar
|
||||
|
||||
### 🎯 Novo na IA? Comece Aqui!
|
||||
### 🎯 Novo em IA? Comece aqui!
|
||||
|
||||
Se é completamente novo em IA e quer exemplos práticos rápidos, consulte os nossos [**Exemplos para Iniciantes**](./examples/README.md)! Estes incluem:
|
||||
Se é completamente novo em IA e quer exemplos rápidos e práticos, confira os nossos [**Exemplos para Iniciantes**](./examples/README.md)! Estes incluem:
|
||||
|
||||
- 🌟 **Olá Mundo IA** - O seu primeiro programa de IA (reconhecimento de padrões)
|
||||
- 🧠 **Rede Neural Simples** - Construa uma rede neural a partir do zero
|
||||
- 🖼️ **Classificador de Imagens** - Classificar imagens com comentários detalhados
|
||||
- 💬 **Sentimento de Texto** - Analisar sentimento positivo/negativo do texto
|
||||
- 🧠 **Rede Neural Simples** - Construa uma rede neural do zero
|
||||
- 🖼️ **Classificador de Imagens** - Classifique imagens com comentários detalhados
|
||||
- 💬 **Sentimento do Texto** - Analise o texto positivo/negativo
|
||||
|
||||
Estes exemplos foram concebidos para o ajudar a compreender conceitos de IA antes de mergulhar no currículo completo.
|
||||
Estes exemplos foram concebidos para o ajudar a compreender os conceitos de IA antes de mergulhar no currículo completo.
|
||||
|
||||
### 📚 Configuração do Currículo Completo
|
||||
|
||||
- Criámos uma [aula de configuração](./lessons/0-course-setup/setup.md) para o ajudar a configurar o seu ambiente de desenvolvimento. - Para Educadores, também criámos uma [aula de configuração de currículo](./lessons/0-course-setup/for-teachers.md) para si!
|
||||
- Como [Executar o código no VSCode ou num Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
- Criámos uma [lição de configuração](./lessons/0-course-setup/setup.md) para o ajudar a configurar o seu ambiente de desenvolvimento. - Para Educadores, criámos uma [lição de configuração do currículo](./lessons/0-course-setup/for-teachers.md) para si também!
|
||||
- Como [Executar o código no VSCode ou no Codepace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Siga estes passos:
|
||||
|
||||
Fork the Repository: Clique no botão "Fork" no canto superior direito desta página.
|
||||
Fork do Repositório: Clique no botão "Fork" no canto superior direito desta página.
|
||||
|
||||
Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Clone o Repositório: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Don't forget to star (🌟) this repo to find it easier later.
|
||||
Não se esqueça de assinalar com uma estrela (🌟) este repositório para o encontrar mais facilmente depois.
|
||||
|
||||
## Conheça outros Aprendizes
|
||||
## Conheça outros aprendizes
|
||||
|
||||
Junte-se ao nosso [servidor oficial Discord de IA](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) para conhecer e estabelecer contactos com outros alunos que estão a fazer este curso e obter apoio.
|
||||
Junte-se ao nosso [servidor oficial de Discord de IA](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) para conhecer e interagir com outros aprendizes que estão a fazer este curso e obter apoio.
|
||||
|
||||
Se tiver feedback sobre o produto ou perguntas enquanto estiver a desenvolver visite o nosso [Fórum de Desenvolvedores Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
Se tiver feedback sobre o produto ou perguntas durante a construção, visite o nosso [Fórum de Desenvolvedores Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
|
||||
## Questionários
|
||||
|
||||
> **Uma nota sobre os questionários**: Todos os questionários encontram-se na pasta Quiz-app em etc\quiz-app, ou [Online Aqui](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.
|
||||
> **Uma nota sobre questionários**: Todos os questionários estão contidos na pasta Quiz-app em etc\quiz-app, ou [Online Aqui](https://ff-quizzes.netlify.app/) Estão ligados a partir das lições e a aplicação de questionários pode ser executada localmente ou implantada no Azure; siga as instruções na pasta `quiz-app`. Estão a ser gradualmente localizados.
|
||||
|
||||
## Ajuda Necessária
|
||||
|
||||
Tem sugestões ou encontrou erros ortográficos ou de código? Abra uma issue ou crie um pull request.
|
||||
Tem sugestões ou encontrou erros ortográficos ou de código? Levante uma issue ou crie um pull request.
|
||||
|
||||
## Agradecimentos Especiais
|
||||
|
||||
* **✍️ Autor Principal:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Ilustrador Sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Criador do Questionário:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **✅ Criadora do Questionário:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Contribuidores Principais:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Outros Currículos
|
||||
|
|
@ -167,57 +176,57 @@ A nossa equipa produz outros currículos! Confira:
|
|||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agentes
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Série de IA Generativa
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Aprendizagem Básica
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Série Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## Obter Ajuda
|
||||
|
||||
Se ficar bloqueado ou tiver alguma dúvida sobre a criação de aplicações de IA. Junte-se a outros alunos e a desenvolvedores experientes nas discussões sobre MCP. É uma comunidade de apoio onde as perguntas são bem-vindas e o conhecimento é partilhado livremente.
|
||||
Se ficar bloqueado ou tiver perguntas sobre como construir aplicações de IA. Junte-se a outros aprendizes e desenvolvedores experientes em discussões sobre MCP. É uma comunidade solidária onde as perguntas são bem-vindas e o conhecimento é compartilhado livremente.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Se tiver feedback sobre o produto ou erros enquanto estiver a desenvolver, visite:
|
||||
Se tiver feedback sobre o produto ou erros durante a construção, visite:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
Aviso legal:
|
||||
Este documento foi traduzido utilizando o serviço de tradução por IA Co-op Translator (https://github.com/Azure/co-op-translator). Embora nos esforcemos por garantir a precisão, tenha em atenção que traduções automatizadas podem conter erros ou imprecisões. O documento original, na sua língua nativa, deve ser considerado a fonte autorizada. Para informação crítica, recomenda-se uma tradução profissional por um tradutor humano. Não nos responsabilizamos por quaisquer mal-entendidos ou interpretações incorretas decorrentes da utilização desta tradução.
|
||||
**Aviso Legal**:
|
||||
Este documento foi traduzido utilizando o serviço de tradução automática [Co-op Translator](https://github.com/Azure/co-op-translator). Embora nos esforcemos para garantir a precisão, por favor, tenha em conta que traduções automáticas podem conter erros ou imprecisões. O documento original na sua língua nativa deve ser considerado a fonte autoritativa. Para informações críticas, recomenda-se a tradução profissional feita por um humano. Não nos responsabilizamos por quaisquer mal-entendidos ou interpretações erradas decorrentes do uso desta tradução.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -1,222 +1,232 @@
|
|||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "14816e97d79b296c87811724f7785923",
|
||||
"translation_date": "2026-01-01T11:40:24+00:00",
|
||||
"original_hash": "0dc6311637b811abb415a936669d7e76",
|
||||
"translation_date": "2026-01-05T15:24:21+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "tr"
|
||||
}
|
||||
-->
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/issues/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/pulls/)
|
||||
[](http://makeapullrequest.com)
|
||||
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/watchers/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/network/)
|
||||
[](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/)
|
||||
[](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)
|
||||
[](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Artificial Intelligence for Beginners - A Curriculum
|
||||
# Yeni Başlayanlar İçin Yapay Zeka - Bir Müfredat
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _Sketchnote - [@girlie_mac](https://twitter.com/girlie_mac) tarafından_ |
|
||||
| Yeni Başlayanlar İçin Yapay Zeka - _[@girlie_mac](https://twitter.com/girlie_mac) tarafından Sketchnote_ |
|
||||
|
||||
12 haftalık, 24 derslik müfredatımızla **Yapay Zeka** (AI) dünyasını keşfedin! Uygulamalı dersler, quizler ve laboratuvarlar içerir. Müfredat başlangıç düzeyine uygundur ve TensorFlow ve PyTorch gibi araçların yanı sıra yapay zekâ etiğini de kapsar.
|
||||
12 haftalık, 24 derslik müfredatımızla **Yapay Zeka** (YZ) dünyasını keşfedin! Pratik dersler, quizler ve laboratuvarlar içerir. Müfredat yeni başlayanlar için uygundur ve TensorFlow, PyTorch gibi araçların yanı sıra YZ etiğini kapsar.
|
||||
|
||||
### 🌐 Çok Dilli Destek
|
||||
|
||||
#### GitHub Action ile desteklenir (Otomatik & Her Zaman Güncel)
|
||||
#### GitHub Actions aracılığıyla desteklenir (Otomatik ve Her Zaman Güncel)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arapça](../ar/README.md) | [Bengalce](../bn/README.md) | [Bulgarca](../bg/README.md) | [Burmaca (Myanmar)](../my/README.md) | [Çince (Basitleştirilmiş)](../zh/README.md) | [Çince (Geleneksel, Hong Kong)](../hk/README.md) | [Çince (Geleneksel, Makao)](../mo/README.md) | [Çince (Geleneksel, Tayvan)](../tw/README.md) | [Hırvatça](../hr/README.md) | [Çekçe](../cs/README.md) | [Danca](../da/README.md) | [Hollandaca](../nl/README.md) | [Estonca](../et/README.md) | [Fince](../fi/README.md) | [Fransızca](../fr/README.md) | [Almanca](../de/README.md) | [Yunanca](../el/README.md) | [İbranice](../he/README.md) | [Hintçe](../hi/README.md) | [Macarca](../hu/README.md) | [Endonezce](../id/README.md) | [İtalyanca](../it/README.md) | [Japonca](../ja/README.md) | [Kannada](../kn/README.md) | [Korece](../ko/README.md) | [Litvanca](../lt/README.md) | [Malayca](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalce](../ne/README.md) | [Nijerya Pidjini](../pcm/README.md) | [Norveççe](../no/README.md) | [Farsça (Farsi)](../fa/README.md) | [Lehçe](../pl/README.md) | [Portekizce (Brezilya)](../br/README.md) | [Portekizce (Portekiz)](../pt/README.md) | [Pencapça (Gurmukhi)](../pa/README.md) | [Rumence](../ro/README.md) | [Rusça](../ru/README.md) | [Sırpça (Kiril)](../sr/README.md) | [Slovakça](../sk/README.md) | [Slovence](../sl/README.md) | [İspanyolca](../es/README.md) | [Svahili](../sw/README.md) | [İsveççe](../sv/README.md) | [Tagalog (Filipince)](../tl/README.md) | [Tamilce](../ta/README.md) | [Telugu](../te/README.md) | [Tayca](../th/README.md) | [Türkçe](./README.md) | [Ukraynaca](../uk/README.md) | [Urduca](../ur/README.md) | [Vietnamca](../vi/README.md)
|
||||
[Arapça](../ar/README.md) | [Bengalce](../bn/README.md) | [Bulgarca](../bg/README.md) | [Birmanca (Myanmar)](../my/README.md) | [Çince (Basitleştirilmiş)](../zh/README.md) | [Çince (Geleneksel, Hong Kong)](../hk/README.md) | [Çince (Geleneksel, Makao)](../mo/README.md) | [Çince (Geleneksel, Tayvan)](../tw/README.md) | [Hırvatça](../hr/README.md) | [Çekçe](../cs/README.md) | [Danca](../da/README.md) | [Felemenkçe](../nl/README.md) | [Estonca](../et/README.md) | [Fince](../fi/README.md) | [Fransızca](../fr/README.md) | [Almanca](../de/README.md) | [Yunanca](../el/README.md) | [İbranice](../he/README.md) | [Hintçe](../hi/README.md) | [Macarca](../hu/README.md) | [Endonezce](../id/README.md) | [İtalyanca](../it/README.md) | [Japonca](../ja/README.md) | [Kannada](../kn/README.md) | [Korece](../ko/README.md) | [Litvanca](../lt/README.md) | [Malayca](../ms/README.md) | [Malayalamca](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalce](../ne/README.md) | [Nijerya Pidgincesi](../pcm/README.md) | [Norveççe](../no/README.md) | [Farsça (Persian)](../fa/README.md) | [Lehçe](../pl/README.md) | [Portekizce (Brezilya)](../br/README.md) | [Portekizce (Portekiz)](../pt/README.md) | [Pencapça (Gurmukhi)](../pa/README.md) | [Rumence](../ro/README.md) | [Rusça](../ru/README.md) | [Sırpça (Kirilik)](../sr/README.md) | [Slovakça](../sk/README.md) | [Slovence](../sl/README.md) | [İspanyolca](../es/README.md) | [Svahili](../sw/README.md) | [İsveççe](../sv/README.md) | [Tagalog (Filipince)](../tl/README.md) | [Tamilce](../ta/README.md) | [Telugu](../te/README.md) | [Tayca](../th/README.md) | [Türkçe](./README.md) | [Ukraynaca](../uk/README.md) | [Urduca](../ur/README.md) | [Vietnamca](../vi/README.md)
|
||||
|
||||
> **Yerel olarak Klonlamayı Tercih Ediyor musunuz?**
|
||||
|
||||
> Bu depo 50+ dil çevirisi içerir; bu da indirilen boyutu önemli ölçüde artırır. Çevirileri olmadan klonlamak için sparse checkout kullanabilirsiniz:
|
||||
> ```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'
|
||||
> ```
|
||||
> Bu size daha hızlı bir indirme ile kursu tamamlamak için gereken her şeyi sağlar.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Ek çeviri dilleri isterseniz desteklenen diller [burada](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) listelenmiştir**
|
||||
**Ek dil çevirileri isterseniz, desteklenenler [burada](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) listelenmiştir**
|
||||
|
||||
## Topluluğa Katılın
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Neler öğreneceksiniz
|
||||
## Öğrenecekleriniz
|
||||
|
||||
**[Kursun Zihin Haritası](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Bu müfredatta şunları öğreneceksiniz:
|
||||
Bu müfredatta öğrenecekleriniz:
|
||||
|
||||
* **Bilgi Temsili** ve akıl yürütme ile birlikte "iyi eski" sembolik yaklaşım dahil olmak üzere Yapay Zekâ'ya farklı yaklaşımlar ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* Modern yapay zekânın merkezinde yer alan **Sinir Ağları** ve **Derin Öğrenme**. Bu önemli konuların arkasındaki kavramları, en popüler iki çerçeve olan [TensorFlow](http://Tensorflow.org) ve [PyTorch](http://pytorch.org) ile verilen kod örnekleri üzerinden açıklayacağız.
|
||||
* Görseller ve metin ile çalışmak için **Sinir Mimarileri**. Güncel modelleri kapsayacağız fakat en son gelişmeler açısından biraz eksik kalabiliriz.
|
||||
* **Genetik Algoritmalar** ve **Çok Ajanlı Sistemler** gibi daha az popüler AI yaklaşımları.
|
||||
* "İyi eski" sembolik yaklaşımı içeren **Bilgi Temsili** ve çıkarım ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)) dahil olmak üzere farklı Yapay Zeka yaklaşımları.
|
||||
* Modern YZ'nin temelinde yer alan **Sinir Ağları** ve **Derin Öğrenme**. Bu önemli konuların arkasındaki kavramları, en popüler iki framework olan [TensorFlow](http://Tensorflow.org) ve [PyTorch](http://pytorch.org) ile kod örnekleriyle anlatacağız.
|
||||
* Görüntü ve metinle çalışmak için **Sinirsel Mimariler**. Son modelleri kapsayacağız ancak en son teknoloji biraz eksik olabilir.
|
||||
* Daha az popüler YZ yaklaşımları, örneğin **Genetik Algoritmalar** ve **Çok Ajanlı Sistemler**.
|
||||
|
||||
Bu müfredatta kapsamayacaklarımız:
|
||||
Bu müfredatta kapsamayacağımız konular:
|
||||
|
||||
> [Bu dersle ilgili tüm ek kaynakları Microsoft Learn koleksiyonumuzda bulun](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Bu kursa ait tüm ek kaynakları Microsoft Learn koleksiyonumuzda bulabilirsiniz](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **İş dünyasında AI** kullanımına ilişkin iş vakaları. Microsoft Learn'deki [İş kullanıcıları için Yapay Zekâya Giriş](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) öğrenim yolunu veya [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) programını (INSEAD ile iş birliğiyle geliştirilmiştir) inceleyin.
|
||||
* **Klasik Makine Öğrenimi**, bu konu bizim [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) içinde iyi şekilde anlatılmaktadır.
|
||||
* **Cognitive Services** kullanılarak oluşturulan pratik AI uygulamaları. Bunun için Microsoft Learn'deki [görsel](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [doğal dil işleme](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum) modülleri, **[Azure OpenAI Hizmeti ile Üretken Yapay Zeka](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ve diğerlerini incelemenizi öneririz.
|
||||
* [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) veya [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum) gibi belirli ML **Bulut Çerçeveleri**. [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) ve [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) öğrenim yollarını göz önünde bulundurun.
|
||||
* **Konuşma Tabanlı AI** ve **Sohbet Botları**. Ayrı bir [Konuşma Tabanlı AI çözümleri oluşturma](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) öğrenim yolu bulunmaktadır; daha fazla detay için [bu blog yazısına](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) da bakabilirsiniz.
|
||||
* Derin öğrenmenin arkasındaki **Derin Matematik**. Bunun için Ian Goodfellow, Yoshua Bengio ve Aaron Courville tarafından yazılan [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) kitabını öneririz; bu kitap çevrimiçi olarak da [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) adresinde mevcuttur.
|
||||
* **İş dünyasında YZ** kullanımının iş vakaları. Microsoft Learn üzerinden [İş kullanıcıları için YZ'ye giriş](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolunu veya [YZ İş Okulu](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) programını inceleyebilirsiniz; bu program [INSEAD](https://www.insead.edu/) iş birliği ile geliştirilmiştir.
|
||||
* Klasik Makine Öğrenimi, bizim [Yeni Başlayanlar İçin Makine Öğrenimi Müfredatımızda](http://github.com/Microsoft/ML-for-Beginners) detaylı olarak anlatılmıştır.
|
||||
* **[Bilişsel Hizmetler (Cognitive Services)](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** kullanılarak oluşturulan pratik YZ uygulamaları. Bunun için Microsoft Learn üzerinde [görüntü](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [doğal dil işleme](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI Hizmeti ile Üretken YZ](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** gibi modüllerle başlamanızı öneririz.
|
||||
* Belirli ML **Bulut Frameworkleri**, örneğin [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) veya [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Bu çerçevede [Azure Machine Learning ile makine öğrenimi çözümleri oluşturma ve işletme](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ve [Azure Databricks ile makine öğrenimi çözümleri oluşturma ve işletme](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) öğrenme yollarını kullanabilirsiniz.
|
||||
* **Konuşma Tabanlı YZ** ve **Sohbet Botları**. Bu konuda ayrı bir [Konuşma Tabanlı YZ çözümleri oluşturma](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolu bulunur; ayrıca daha ayrıntılı bilgi için [bu blog yazısını](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) inceleyebilirsiniz.
|
||||
* Derin öğrenmenin arkasındaki **Derin Matematik**. Bunun için Ian Goodfellow, Yoshua Bengio ve Aaron Courville tarafından yazılan [Derin Öğrenme](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) kitabını öneririz; kitap çevrimiçi olarak da [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) adresinde bulunabilir.
|
||||
|
||||
_Bulut üzerinde AI_ konularına yumuşak bir giriş için [Azure üzerinde yapay zekâ ile başlama](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) öğrenim yolunu almayı düşünebilirsiniz.
|
||||
_YZ Bulut'taki_ konulara hafif bir giriş için [Azure'da Yapay Zekaya Başlangıç](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolunu denenebilirsiniz.
|
||||
|
||||
# İçerik
|
||||
|
||||
| | Ders Bağlantısı | PyTorch/Keras/TensorFlow | Laboratuvar |
|
||||
| | Ders Linki | PyTorch/Keras/TensorFlow | Laboratuvar |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Kurs Kurulumu](./lessons/0-course-setup/setup.md) | [Geliştirme Ortamınızı Kurun](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Yapay Zekâya Giriş**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Yapay Zekâ: Giriş ve Tarihçe](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Sembolik Yapay Zeka** |
|
||||
| I | [**YZ'ye Giriş**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [YZ'nin Tanıtımı ve Tarihi](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Sembolik YZ** |
|
||||
| 02 | [Bilgi Temsili ve Uzman Sistemler](./lessons/2-Symbolic/README.md) | [Uzman Sistemler](./lessons/2-Symbolic/Animals.ipynb) / [Ontoloji](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Kavram Grafiği](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Sinir Ağlarına Giriş**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Not Defteri](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratuvar](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Çok Katmanlı Perceptron ve Kendi Çerçevemizi Oluşturma](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Not Defteri](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratuvar](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Çerçevelere Giriş (PyTorch/TensorFlow) ve Aşırı Uyum](./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) | [Laboratuvar](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Bilgisayarlı Görüntüleme**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Microsoft Azure'da Bilgisayarlı Görüntüyü Keşfedin](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Bilgisayarlı Görüntülemeye Giriş. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Not Defteri](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratuvar](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Dizüstü](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratuvar](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Çok Katmanlı Perceptron ve Kendi Çerçevemizi Oluşturma](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Dizüstü](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratuvar](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Çerçevelere Giriş (PyTorch/TensorFlow) ve Aşırı Öğrenme](./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) | [Laboratuvar](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Bilgisayar Görüşü**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Microsoft Azure'da Bilgisayar Görüşünü Keşfedin](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Bilgisayar Görüşüne Giriş. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Dizüstü](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratuvar](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Konvolüsyonel Sinir Ağları](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Mimarileri](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratuvar](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Önceden Eğitilmiş Ağlar ve Transfer Öğrenme](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Eğitim Püf Noktaları](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratuvar](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 08 | [Önceden Eğitilmiş Ağlar ve Transfer Öğrenimi](./lessons/4-ComputerVision/08-TransferLearning/README.md) ve [Eğitim Püf Noktaları](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratuvar](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Otoenkoderler ve VAE'ler](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Üretken Çekişmeli Ağlar ve Sanatsal Stil Transferi](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 10 | [Üretici Çekişmeli Ağlar ve Sanatsal Stil Transferi](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Nesne Tespiti](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratuvar](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Semantik Segmentasyon. 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) | |
|
||||
| 12 | [Anlamsal Segmentasyon. 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 | [**Doğal Dil İşleme**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Microsoft Azure'da Doğal Dil İşlemeyi Keşfedin](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Metin Temsili. 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 | [Semantik kelime gömmeleri. Word2Vec ve 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 | [Dil Modellemesi. Kendi gömmelerinizi eğitme](./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) | [Laboratuvar](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 13 | [Metin Temsili. 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 | [Anlamsal kelime gömme. Word2Vec ve 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 | [Dil Modelleme. Kendi Gömme Modelinizi Eğitme](./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) | [Laboratuvar](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Tekrarlayan Sinir Ağları](./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 | [Üretken Tekrarlayan Ağlar](./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) | [Laboratuvar](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformer'lar. 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 | [Adlandırılmış Varlık Tanıma](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratuvar](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Büyük Dil Modelleri, İstem Programlama ve Az-Örnek Görevler](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Diğer Yapay Zeka Teknikleri** || |
|
||||
| 21 | [Genetik Algoritmalar](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Not Defteri](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Derin Pekiştirmeli Öğrenme](./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) | [Laboratuvar](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 17 | [Üretici Tekrarlayan Ağlar](./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) | [Laboratuvar](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Dönüştürücüler. 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 | [İsimlendirilmiş Varlık Tanıma](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratuvar](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Büyük Dil Modelleri, İstek Programlama ve Az Örnekli Görevler](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Diğer AI Teknikleri** || |
|
||||
| 21 | [Genetik Algoritmalar](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Dizüstü](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Derin Takviyeli Öğrenme](./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) | [Laboratuvar](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Çok Ajanlı Sistemler](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Yapay Zeka Etiği** | | |
|
||||
| 24 | [Yapay Zeka Etiği ve Sorumlu Yapay Zeka](./lessons/7-Ethics/README.md) | [Microsoft Learn: Sorumlu Yapay Zeka İlkeleri](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Ekstralar** | | |
|
||||
| 25 | [Çok Modlu Ağlar, CLIP ve VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Not Defteri](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| VII | **AI Etiği** | | |
|
||||
| 24 | [AI Etiği ve Sorumlu AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Sorumlu AI İlkeleri](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Ekstra İçerikler** | | |
|
||||
| 25 | [Çok Modlu Ağlar, CLIP ve VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Dizüstü](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Her ders içerir
|
||||
## Her ders içeriği
|
||||
|
||||
* Ön okuma materyali
|
||||
* Çalıştırılabilir Jupyter Not Defterleri, genellikle belirli bir çerçeveye özgüdür (**PyTorch** veya **TensorFlow**). Çalıştırılabilir not defteri ayrıca çok fazla teorik materyal içerir, bu nedenle konuyu anlamak için not defterinin en az bir sürümünü (PyTorch veya TensorFlow) incelemeniz gerekir.
|
||||
* Bazı konular için mevcut **Laboratuvarlar**, öğrendiğiniz materyali belirli bir probleme uygulamayı deneme fırsatı sunar.
|
||||
* Bazı bölümler ilgili konuları kapsayan [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modüllerine bağlantılar içerir.
|
||||
* Ön okuma materyali
|
||||
* Çoğunlukla belirli bir çerçeveye özgü (**PyTorch** veya **TensorFlow**) çalıştırılabilir Jupyter Dizüstüleri. Çalıştırılabilir dizüstü aynı zamanda çok sayıda teorik materyal içerir, bu yüzden konuyu anlamak için dizüstünün en az bir sürümünü (PyTorch veya TensorFlow) incelemeniz gerekmektedir.
|
||||
* Bazı konular için mevcut olan **Laboratuvarlar**, öğrendiğiniz materyali belirli bir probleme uygulama şansı verir.
|
||||
* Bazı bölümlerde ilgili konuları kapsayan [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modüllerine linkler bulunur.
|
||||
|
||||
## Başlarken
|
||||
|
||||
### 🎯 Yapay zeka konusunda yeni misiniz? Buradan başlayın!
|
||||
### 🎯 AI'ya Yeni misiniz? Buradan Başlayın!
|
||||
|
||||
Yapay zekaya tamamen yeniyseniz ve hızlı, uygulamalı örnekler istiyorsanız, [**Yeni Başlayanlar için Örnekler**](./examples/README.md)! Bunlar şunları içerir:
|
||||
AI'ya tamamen yeniyseniz ve hızlı, uygulamalı örnekler arıyorsanız, [**Yeni Başlayanlar İçin Dostça Örnekler**](./examples/README.md) bölümüne bakın! Bunlar arasında:
|
||||
|
||||
- 🌟 **Merhaba AI Dünyası** - İlk yapay zeka programınız (desen tanıma)
|
||||
- 🧠 **Basit Sinir Ağı** - Baştan bir sinir ağı oluşturun
|
||||
- 🖼️ **Görüntü Sınıflandırıcı** - Görüntüleri ayrıntılı yorumlarla sınıflandırın
|
||||
- 💬 **Metin Duygu Analizi** - Pozitif/negatif metinleri analiz et
|
||||
- 🌟 **Merhaba AI Dünyası** - İlk AI programınız (desen tanıma)
|
||||
- 🧠 **Basit Sinir Ağı** - Baştan bir sinir ağı inşa edin
|
||||
- 🖼️ **Görüntü Sınıflandırıcı** - Detaylı yorumlarla görüntü sınıflandırma
|
||||
- 💬 **Metin Duyarlılığı** - Pozitif/negatif metni analiz edin
|
||||
|
||||
Bu örnekler, tam müfredata geçmeden önce yapay zeka kavramlarını anlamanıza yardımcı olmak için tasarlanmıştır.
|
||||
Bu örnekler, tam müfredata dalmadan önce yapay zeka kavramlarını anlamanıza yardımcı olmak için tasarlanmıştır.
|
||||
|
||||
### 📚 Tam Müfredat Kurulumu
|
||||
|
||||
- We have created a [setup lesson](./lessons/0-course-setup/setup.md) to help you with setting up your development environment. - For Educators, we have created a [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) for you too!
|
||||
- How to [Kodu VSCode veya Codepace'te Çalıştırma](./lessons/0-course-setup/how-to-run.md)
|
||||
- Geliştirme ortamınızı kurmanıza yardımcı olmak için bir [kurulum dersi](./lessons/0-course-setup/setup.md) oluşturduk. - Eğitimciler için de bir [müfredat kurulum dersi](./lessons/0-course-setup/for-teachers.md) oluşturduk!
|
||||
- [Kodun VSCode veya Codepace'te nasıl çalıştırılacağı](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Follow these steps:
|
||||
Bu adımları izleyin:
|
||||
|
||||
Fork the Repository: Click on the "Fork" button at the top-right corner of this page.
|
||||
Depoyu Çatallayın: Bu sayfanın sağ üst köşesindeki "Fork" düğmesine tıklayın.
|
||||
|
||||
Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Depoyu Klonlayın: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Don't forget to star (🌟) this repo to find it easier later.
|
||||
Daha sonra bulmayı kolaylaştırmak için bu depoya yıldız (🌟) vermeyi unutmayın.
|
||||
|
||||
## Diğer Öğrenenlerle Tanışın
|
||||
## Diğer Öğrenicilerle Tanışın
|
||||
|
||||
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.
|
||||
Bu kursu alan diğer öğrenicilerle tanışmak ve ağ kurmak, destek almak için [resmi AI Discord sunucumuza](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) katılın.
|
||||
|
||||
If you have product feedback or questions whilst building visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
Ürün geri bildiriminiz veya sorularınız varsa, inşa ederken [Azure AI Foundry Geliştirici Forumumuzu](https://aka.ms/foundry/forum) ziyaret edin.
|
||||
|
||||
## Quizler
|
||||
## Quizler
|
||||
|
||||
> **Quizler hakkında bir not**: All quizzes are contained in the Quiz-app folder in etc\quiz-app, or [Çevrimiçi Burada](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.
|
||||
> **Quizler hakkında bir not**: Tüm quizler etc\quiz-app içindeki Quiz-app klasöründe veya [Online olarak burada](https://ff-quizzes.netlify.app/) bulunmaktadır. Derslerin içinden bağlantılıdır. Quiz uygulaması yerel olarak çalıştırılabilir veya Azure'a dağıtılabilir; `quiz-app` klasöründeki talimatları izleyin. Kademeli olarak yerelleştirilmektedir.
|
||||
|
||||
## Yardım İsteniyor
|
||||
## Yardım İstiyoruz
|
||||
|
||||
Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request.
|
||||
Önerileriniz veya yazım ya da kod hataları bulduysanız sorun açın veya bir pull request oluşturun.
|
||||
|
||||
## Özel Teşekkürler
|
||||
|
||||
* **✍️ Birincil Yazar:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Editör:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Sketchnote illüstratörü:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Sınav Oluşturan:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Ana Katkıda Bulunanlar:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **✍️ Birincil Yazar:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Editör:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Sketchnote çizeri:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Quiz Oluşturucu:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Temel Katkıda Bulunanlar:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Diğer Müfredatlar
|
||||
|
||||
Our team produces other curricula! Check out:
|
||||
Ekibimiz başka müfredatlar üretiyor! Şunlara göz atın:
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Üretken Yapay Zeka Serisi
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
### Üretken AI Serisi
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Temel Öğrenme
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Copilot Serisi
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## Yardım Alma
|
||||
|
||||
Eğer takılırsanız veya AI uygulamaları geliştirme hakkında sorularınız olursa, MCP hakkında tartışmalara katılarak diğer öğrenenler ve deneyimli geliştiricilerle bir araya gelin. Soruların memnuniyetle karşılandığı ve bilginin serbestçe paylaşıldığı destekleyici bir topluluktur.
|
||||
AI uygulamaları geliştirme ile ilgili takılır veya sorunuz olursa, MCP hakkında tartışmalara katılmak için diğer öğreniciler ve deneyimli geliştiricilerle birleşin. Soruların hoş karşılandığı ve bilginin özgürce paylaşıldığı destekleyici bir topluluktur.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
If you have product feedback or errors while building visit:
|
||||
Ürün geri bildiriminiz veya oluşturma sırasında hatalarınız varsa:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
Feragatname:
|
||||
Bu belge, yapay zeka çeviri hizmeti [Co-op Translator](https://github.com/Azure/co-op-translator) kullanılarak çevrilmiştir. Doğruluk için çaba göstersek de, otomatik çevirilerin hatalar veya yanlışlıklar içerebileceğini lütfen unutmayın. Orijinal belge, kendi dili itibarıyla yetkili kaynak olarak kabul edilmelidir. Kritik bilgiler için profesyonel bir insan çevirisi önerilir. Bu çevirinin kullanılması sonucu ortaya çıkabilecek herhangi bir yanlış anlama veya yanlış yorumdan sorumlu değiliz.
|
||||
**Feragatname**:
|
||||
Bu belge, yapay zeka çeviri servisi [Co-op Translator](https://github.com/Azure/co-op-translator) kullanılarak çevrilmiştir. Doğruluk için çaba göstermekle birlikte, otomatik çevirilerin hata veya yanlışlık içerebileceğini lütfen unutmayınız. Orijinal belge, kendi ana dilindeki metin otoritatif kaynak olarak kabul edilmelidir. Kritik bilgiler için profesyonel insan çevirisi önerilir. Bu çevirinin kullanımıyla ortaya çıkabilecek herhangi bir yanlış anlama veya yorumdan dolayı sorumluluk kabul edilmemektedir.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
Loading…
Reference in New Issue