The Principles Of Deep Learning Theory - Sho Yaida - Statistical physics - Cambridge University Press - Hardback

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The Principles Of Deep Learning Theory - Sho Yaida - Statistical physics - Cambridge University Press - Hardback

The Principles Of Deep Learning Theory - Sho Yaida - Statistical physics - Cambridge University Press - Hardback

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The Principles Of Deep Learning Theory - Sho Yaida - Statistical physics - Cambridge University Press - Hardback

  • Brand: Unbranded

CN¥799.00

Only 3 left in stock
+ CN¥127.99 Shipping

14-Day Returns Policy

Sold by:

CN¥799.00

Only 3 left in stock
+ CN¥127.99 Shipping

14-Day Returns Policy

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Description

The Principles Of Deep Learning Theory - Sho Yaida - Statistical physics - Cambridge University Press - Hardback

This is the first book focused entirely on deep learning theory. Tools from theoretical physics are borrowed and adapted to explain, from first principles, how realistic deep neural networks work, benefiting practitioners looking to build better AI models and theorists looking for a unifying framework for understanding intelligence.
  • Brand: Unbranded
  • Category: Science, Medicine & Nature
  • Format: Hardback
  • Language: English
  • Publisher / Label: Cambridge University Press
  • Author: Sho Yaida
  • Number of Pages: 472
  • Fruugo ID: 103654614-218352205
  • ISBN: 9781316519332

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  • STANDARD: CN¥127.99 - Delivery between Fri 23 January 2026–Thu 29 January 2026

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