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Computational Mathematics, Algorithms, and Data Processing (Hardcover): Daniele Mortari, Yalchin Efendiev, Boris Hanin Computational Mathematics, Algorithms, and Data Processing (Hardcover)
Daniele Mortari, Yalchin Efendiev, Boris Hanin
R1,219 R1,076 Discovery Miles 10 760 Save R143 (12%) Ships in 18 - 22 working days
The Principles of Deep Learning Theory - An Effective Theory Approach to Understanding Neural Networks (Hardcover): Daniel A.... The Principles of Deep Learning Theory - An Effective Theory Approach to Understanding Neural Networks (Hardcover)
Daniel A. Roberts, Sho Yaida; Contributions by Boris Hanin
R1,833 Discovery Miles 18 330 Ships in 10 - 15 working days

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 deep neural networks actually work. To make results from the theoretical forefront accessible, the authors eschew the subject's traditional emphasis on intimidating formality without sacrificing accuracy. Straightforward and approachable, this volume balances detailed first-principle derivations of novel results with insight and intuition for theorists and practitioners alike. This self-contained textbook is ideal for students and researchers interested in artificial intelligence with minimal prerequisites of linear algebra, calculus, and informal probability theory, and it can easily fill a semester-long course on deep learning theory. For the first time, the exciting practical advances in modern artificial intelligence capabilities can be matched with a set of effective principles, providing a timeless blueprint for theoretical research in deep learning.

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