Related Books
Language: en
Pages: 512
Pages: 512
Type: BOOK - Published: 2018-08-25 - Publisher: Springer
This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithm
Language: en
Pages: 801
Pages: 801
Type: BOOK - Published: 2016-11-10 - Publisher: MIT Press
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and res
Language: en
Pages: 473
Pages: 473
Type: BOOK - Published: 2022-05-26 - Publisher: Cambridge University Press
This volume develops an effective theory approach to understanding deep neural networks of practical relevance.
Language: en
Pages: 725
Pages: 725
Type: BOOK - Published: 2019-08-05 - Publisher: Addison-Wesley Professional
"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magi
Language: en
Pages: 354
Pages: 354
Type: BOOK - Published: 2018-10-23 - Publisher: MIT Press
How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the econo