L14.6.1 Transfer Learning @SebastianRaschka
L14.6.1 Transfer Learning  @SebastianRaschka
Uploaded April 2021 | Updated September 2026, 1 week ago
Sebastian's books: sebastianraschka.com/books

Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L14_cnn-architectures_slides.pdf

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

Next video: youtu.be/FaW9JCSJn2s

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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L14.6.1 Transfer LearningL3.3 Vectorization in PythonL18.0: Introduction to Generative Adversarial Networks   Lecture OverviewL12.1 Learning Rate DecayL19.5.2.7: Closing Words   The Recent Growth of Language TransformersL19.2.1 Implementing a Character RNN in PyTorch (Concepts)L13.8 What a CNN Can SeeUnderstanding PyTorch BuffersL14.3.1.2 VGG16 in PyTorch   Code ExampleL1.6 About the Practical Aspects and Tools Used in This CourseL9.5.1 Cats & Dogs and Custom Data LoadersL11.5 Weight Initialization   Why Do We Care?
Sebastian Raschka |

L14.6.1 Transfer Learning

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