datawhalechina/thorough-pytorch
A structured PyTorch deep learning tutorial course covering tensors, automatic differentiation, CUDA, and deep learning modules.
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This is a three-part educational course teaching PyTorch from basics to practical projects. It covers tensor operations, automatic differentiation, parallel computing with CUDA, and core PyTorch modules. The course is designed for learners with Python and machine learning background who want hands-on deep learning practice, published by Datawhale with links to a national-level AI teaching platform.
Frequently asked
- What is datawhalechina/thorough-pytorch?
- A structured PyTorch deep learning tutorial course covering tensors, automatic differentiation, CUDA, and deep learning modules.
- Is thorough-pytorch open source?
- Yes — datawhalechina/thorough-pytorch is an open-source project tracked on heatdrop.
- What language is thorough-pytorch written in?
- datawhalechina/thorough-pytorch is primarily written in Jupyter Notebook.
- How popular is thorough-pytorch?
- datawhalechina/thorough-pytorch has 3.7k stars on GitHub.
- Where can I find thorough-pytorch?
- datawhalechina/thorough-pytorch is on GitHub at https://github.com/datawhalechina/thorough-pytorch.