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| Author(s) :- Drori Iddo | Format :- Hardback |
| Publisher :- Cambridge University Press | Pub. Date :- 2022-08-18 |
| ISBN-13 :- 9781108835084 | |
| Pagination :- 360 pages, Worked examples or Exercises | |
| Dimensions :- 251 x 176 x 22 | |
| Weight :- 814 |
This up-to-date guide to deep learning is intended for students in computer science, electrical engineering, data science, statistics, and OR as well as researchers in academia and industry. State-of-the-art topics include transformers, GNNs, VAEs, and deep RL. Complementary code and hundreds of exercises with solutions are provided on the website.