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- Author: Simon J. D. Prince
- Publisher: The MIT Press
- Year: 2023
- Pages: 544
- ISBN-10: 0262048647
- ISBN-13: 9780262048644
- Format: 21.3 x 23.6 x 4 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.
Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics.
EXTRA 10 % discount with code: EXTRA
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- Author: Simon J. D. Prince
- Publisher: The MIT Press
- Year: 2023
- Pages: 544
- ISBN-10: 0262048647
- ISBN-13: 9780262048644
- Format: 21.3 x 23.6 x 4 cm, kieti viršeliai
- Language: English English
An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.
Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics.
Reviews