L12.2 Learning Rate Schedulers in PyTorch @SebastianRaschka
L12.2 Learning Rate Schedulers 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/L12_optim__slides.pdf

Link to the code referenced in this video:
github.com/rasbt/stat453-deep-learning-ss21/blob/main/L12/code/scheduler.ipynb

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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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L12.2 Learning Rate Schedulers in PyTorchL5.4 (Optional) Calculus Refresher I: DerivativesL19.2.2 Implementing a Character RNN in PyTorch  Code ExampleHow Claudes Text Watermarking WorksDesigning Generative Adversarial Networks for Privacy-enhanced Face Recognition (Conference rec.)L2.3 The Origins of Deep LearningL19.5.1 The Transformer ArchitectureL11.4 Why BatchNorm WorksL10.4 L2 Regularization for Neural NetsL13.9.2 Saving and Loading Models in PyTorchReinforcement Learning with Human Feedback (RLHF) in 4 minutesL19.5.2.5 GPT-v3: Language Models are Few-Shot Learners
Sebastian Raschka |

L12.2 Learning Rate Schedulers in PyTorch

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