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The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks Roberts, Daniel A. (Massachusetts Institute of Technology) New edition
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The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
Roberts, Daniel A. (Massachusetts Institute of Technology)
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.
390 pages, Worked examples or Exercises
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | May 26, 2022 |
| ISBN13 | 9781316519332 |
| Publishers | Cambridge University Press |
| Pages | 472 |
| Dimensions | 289 × 221 × 33 mm · 1.06 kg |
| Language | English |
