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This course explains the theory behind neural style transfer through an overview of the foundational paper and demonstrates an implementation in PyTorch. It covers preparing images, computing content and style losses, and optimizing an output image.
Syllabus
Introduction:
Tools:
Resource:
Paper Overview from Leon A. Gatys, Alexander S. Ecker, Matthias Bethge:
Code from Pytorch Documentation Walkthrough:
Conclusion:
Taught by
Yacine Mahdid