Introduction to PyTorch
In the first video of this series, we give a broad overview of the parts of the PyTorch toolchain, including: Tensors, automatic gradient computation, model building basics, data loading abstractions, model training, and deployment for inference. This video is meant as a survey, with each topic being covered in more depth in subsequent videos.
Download all notebooks here: https://pytorch-tutorial-assets.s3.am...
Download individual notebooks here:
1. Tensors - 04:45 to 07:50
https://pytorch-tutorial-assets.s3.am...
2. Autograd - 08:00 to 9:50
3. A simple model - 10:00 to 14:00
https://pytorch-tutorial-assets.s3.am...
4. Datasets - 14:00 to 17:10
https://pytorch-tutorial-assets.s3.am...
5. Training loop - 17:10 to 21:00
https://pytorch-tutorial-assets.s3.am...
