Uploaded May 2022 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books
Code: github.com/rasbt/machine-learning-notes/blob/main/demos/basic-pytorch-cnn-for-3-ele-pytorch-video.ipynb
Slides: 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.
Sebastian's books: sebastianraschka.com/books
Code: github.com/rasbt/machine-learning-notes/blob/main/demos/basic-pytorch-cnn-for-3-ele-pytorch-video.ipynb
Slides: 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.
