L13.9.2 Saving and Loading Models in PyTorch @SebastianRaschka
L13.9.2 Saving and Loading Models 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: github.com/rasbt/stat453-deep-learning-ss21/tree/main/L13/code/save-and-load

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

Next video: youtu.be/mlXRVuD_HEg

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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L13.9.2 Saving and Loading Models in PyTorchReinforcement Learning with Human Feedback (RLHF) in 4 minutesL19.5.2.5 GPT-v3: Language Models are Few-Shot LearnersL13.5 Whats The Difference Between Cross-Correlation And Convolution?L11.0 Input Normalization and Weight Initialization   Lecture OverviewBuild an LLM from Scratch 1: Set up your code environment13.3.2 Decision Trees & Random Forest Feature Importance (L13: Feature Selection)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 |

L13.9.2 Saving and Loading Models in PyTorch

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