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

The Principles of Deep Learning Theory

Daniel A. Roberts, Boris Hanin, Sho Yaida

472 pages missing pub info (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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