This community is an AI education and learning community created by the AI-Edu team of Microsoft Research Asia (MSRA). We provide a series of AI tutorials, case studies, tools, and other resources.
We are currently translating the content of A2-Neural Network Basic under A-Basic Course module into English. More content will be added to the English version later. Stay tuned.
This module is a collection of theoretical tutorials for artificial intelligence learning, including tutorials and code examples, helping learners understand the principles of neural networks and solve practical problems.
Windows 10
1.Git client
2.Python 3.6+ without conda
3.VS Code
Note: Please install "Markdown all in one" Extension after installed VS Code. Open VS Code, select "Extensions" in the left column or press the shortcut key Ctrl+Shift+X, and search for the "Markdown all in one" plugin. Download and install it.
- Step1 - BasicKnowledge
- Step2 - LinearRegression
- Step3 - LinearClassification
- Step4 - NonLinearRegression
- Step5 - NonLinearClassification
- Step6 - Model Inference
- Step7 - DNN
- Step8 - CNN
- Step9 - RNN
-
Feedback
If you have any feedback for the courses, please create an issue and write your feedback in the GitHub Issues module. We will try our best to make the course better.
-
Contribution
If you want to provide any valuable tutorial content to this module, please fork this repository to your own account, edit the content and submit a Pull Request. We will review and process it in time.
You are welcome to contribute valuable content to this module.