L13.9.3 AlexNet in PyTorch @SebastianRaschka
L13.9.3 AlexNet 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/2-alexnet-cifar10.ipynb

Correction: torch.nn.AdaptiveAvgPool2d can increase height and with -- sorry, confused it with GlobalAvgPool

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

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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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L13.9.3 AlexNet in PyTorchL11.7 Weight Initialization in PyTorch   Code ExampleL8.1 Logistic Regression as a Single-Layer Neural NetworkThe Three Elements of PyTorchL6.2 Understanding Automatic Differentiation via Computation GraphsL17.3 The Log-Var TrickL15.0: Introduction to Recurrent Neural Networks   Lecture OverviewL10.2 Data Augmentation in PyTorchL14.3.2.1 ResNet OverviewBuilding LLMs from the Ground Up: A 3-hour Coding WorkshopThe Big LLM Architecture ComparisonInsights from Finetuning LLMs with Low-Rank Adaptation
Sebastian Raschka |

L13.9.3 AlexNet in PyTorch

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