The Principles of Deep Learning Theory : An Effective Theory Approach to Understanding Neural Networks

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.

• | : Daniel A. Roberts (Massachusetts Institute of Technology), Sho Yaida
• | Publisher: Cambridge University Press
• | Publication Date: May 26, 2022
• | Country of Publication: United Kingdom
• | Number of Pages: 472 pages
• | Language: Unknown
• | Binding: Hardback
• | ISBN-10: 1316519333
• | ISBN-13: 9781316519332