The Three Elements of PyTorch

Code: https://github.com/rasbt/machine-learning-notes/blob/main/demos/basic-pytorch-cnn-for-3-ele-pytorch-video.ipynb Slides: https://sebastianraschka.com/pdf/slides/2022-05_three-elements-pytorch.pdf 00:00 Three elements of PyTorch 02:10 (1) Tensor library 05:56 (2) Automatic differentiation engine 13:32 (3) Deep learning library 14:27 PyTorch in 3 Steps 15:17 Step 1: defining the model 23:32 Step 2: defining the training loop 30:20 Step 3: defining the dataset 39:34 Why do I like PyTorch? 42:25 Hands-on code demo This talk is an hour long introduction to PyTorch focusing on its three core elements: tensor (array) computing, automatic differentiation, and deep learning utilities.