In this curriculum, you will learn:
Neural Networks and Deep Learning, which are at the core of modern AI. We will illustrate the concepts behind these important topics using code in two of the most popular frameworks
Neural Architectures for working with images and text. We will cover recent models but may be a bit lacking in the state-of-the-art.
Less popular AI approaches, such as Genetic Algorithms and Multi-Agent Systems.
What we will not cover in this curriculum:
Pre-reading material
Executable Jupyter Notebooks, which are often specific to the framework ( PyTorch or TensorFlow). The executable notebook also contains a lot of theoretical material, so to understand the topic you need to go through at least one version of the notebook (either PyTorch or TensorFlow).
Labs available for some topics, which give you an opportunity to try applying the material you have learned to a specific problem.
Follow these steps:
Fork the Repository: Click on the "Fork" button at the top-right corner of this page.
git clone https://github.com/microsoft/AI-For-Beginners.gitDon't forget to star (🌟) this repo to find it easier later.
A note about quizzes: All quizzes are contained in the Quiz-app folder in etc\quiz-app, or Online Here They are linked from within the lessons the quiz app can be run locally or deployed to Azure; follow the instruction in thequiz-appfolder. They are gradually being localized.
Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request.
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