The Principles of Deep Learning Theory by Boris Hanin, Sho Yaida, Daniel A. Roberts

The Principles of Deep Learning Theory

Boris Hanin, Sho Yaida, Daniel A. Roberts

472 pages missing pub info (view editions)

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This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic ...

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