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.
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ISBN | 9781108835084 |
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Sprache | eng |
Cover | Fester Einband |
Verlag | Cambridge Academic |
Jahr | 20220818 |
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