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De Gruyter Mathematics of Deep Learning - Neural Networks Textbook

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£55.69 £33.20 £38.10 £43.01 £47.92 £52.83 £57.74 25 July 2026 12 August 2026 31 August 2026 19 September 2026 08 October 2026
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Price distribution over 76 days • 5 price ranges

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1 day · current 21 days 17 days 10 days 27 days 0 7 14 20 27 £35-39 £39-43 £43-48 £48-52 £52-56 Days at Price

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Most common range: £52-56 (27 days, 35.5%)

Price range: £35 - £56

Price levels: 5 price ranges over 76 days

Description

Mathematics of Deep Learning: An Introduction to Foundational Mathematics of Neural Nets is a De Gruyter textbook that provides rigorous mathematical foundations for understanding deep neural networks. This compact resource bridges the gap between implementation-focused deep learning literature and theoretical understanding, offering a complementary perspective grounded in mathematical principles. The book introduces key concepts from deep neural networks in a rigorous mathematical fashion, helping readers move beyond empirical approaches to grasp the underlying mathematical ideas that drive DNN algorithms. Ideal for students and researchers seeking a foundational understanding of how mathematical theory underpins modern deep learning systems, this textbook answers important questions through proven mathematical frameworks rather than empirical observation alone.

Key Features

De Gruyter textbook providing rigorous mathematical foundations for deep neural network theory and practice.

Introduces fundamental deep learning concepts using formal mathematical language and notation.

Complements implementation-focused literature with theoretical perspective on neural network algorithms.

Answers key deep learning questions through mathematical proof rather than empirical methods alone.

Compact resource designed for students and researchers building mathematical understanding of DNNs.

Bridges theory and practice by explaining the mathematical principles behind neural network behaviour.

Product Specifications

Format
perfect
Domain
Amazon UK
Release Date
02 February 2026
Listed Since
24 November 2025

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