深層学習理論の原理
The Principles of Deep Learning Theory
An Effective Theory Approach to Understanding Neural Networks
Roberts, Daniel A.
Yaida, Sho
- 出版社：Cambridge University Press
- 出版年月：2022年 05月
- ISBN：9781316519332
- 装丁：HRD
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装丁について
- 言語：ENG
- 巻数・ページ数：472 p.
- 分類： 人工知能
- DDC分類：006.31
- 内容紹介：
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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.