£59.81

Cambridge University Press - Deep Learning Theory Textbook

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£60 today · usual range £56–£62 · best ever £56

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£61.75 £55.89 £57.17 £58.45 £59.72 £61.00 £62.28 09 July 2026 28 July 2026 17 August 2026 05 September 2026 25 September 2026

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Description

Understand the mechanics of neural networks with The Principles of Deep Learning Theory. Published by Cambridge University Press, this textbook establishes a theoretical framework for understanding deep learning models of practical relevance. By borrowing an approach from theoretical physics, authors Roberts and Yaida provide pedagogical explanations of how realistic deep neural networks actually work. This volume is designed to make results from the theoretical forefront accessible. The authors avoid intimidating formality without sacrificing accuracy, making the content straightforward and approachable. The book balances detailed first-principle derivations of novel results with the insight and intuition needed by theorists to master the subject.

Key Features

This Cambridge University Press textbook provides a theoretical framework for understanding deep learning models of practical relevance.

The authors use an approach borrowed from theoretical physics to explain how realistic deep neural networks function.

Get clear and pedagogical explanations that make complex theoretical results accessible to the reader.

The text balances detailed first-principle derivations of novel results with essential intuition for theorists.

This volume avoids intimidating formality to remain straightforward and approachable while maintaining accuracy.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
26 May 2022
Listed Since
19 October 2021

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No barcode data available

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