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...

• #science_technology
• #pytorch
• #tutorial
• #deep_learning
• #machine_learning
• #ai
• #ml
• #getting_started_with_pytorch
• #introduction_to_pytorch
• #pytorch_toolchain
• #automatic_gradient_computation
• #model_building_basics
• #data_loading_abstractions
• #model_training
• #deployment