L13.9.1 LeNet-5 in PyTorch @SebastianRaschka
L13.9.1 LeNet-5 in PyTorch  @SebastianRaschka
Uploaded March 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books

Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L13_intro-cnn__slides.pdf

Code notebook: github.com/rasbt/stat453-deep-learning-ss21/blob/main/L13/code/1-lenet5-mnist.ipynb

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This video is part of my Introduction of Deep Learning course.

Next video: youtu.be/vB_Y04gsyBI

The complete playlist: youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51

A handy overview page with links to the materials: sebastianraschka.com/blog/2021/dl-course.html

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L13.9.1 LeNet-5 in PyTorchL17.4 Variational Autoencoder Loss FunctionL9.3.1 Multilayer Perceptron   Code Example Part 1/3 (Slide Overview)L4.2 Tensors in PyTorch
Sebastian Raschka |

L13.9.1 LeNet-5 in PyTorch

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