The Science of Deep Learning, Hardback/Iddo Drori

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. Publisher: Cambridge University Press Author(s): Iddo Drori Illustration(s): Worked examples or Exercises Number of pages: 360 Publication date: 2022 Dimensions: 251 x 176 x 22 Cover type: Hardback