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Language: en
Pages: 254
Pages: 254
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are curren
Language: en
Pages: 342
Pages: 342
Type: BOOK - Published: 2020-06-24 - Publisher:
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are curren
Language: en
Pages: 342
Pages: 342
Type: BOOK - Published: 2020-06-24 - Publisher:
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are curren
Language: en
Pages: 246
Pages: 246
Type: BOOK - Published: 2019-07-03 - Publisher: "O'Reilly Media, Inc."
As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "fool" them with data that wouldn’t trick
Language: en
Pages: 414
Pages: 414
Type: BOOK - Published: 2001-01-26 - Publisher: MIT Press
Most practical applications of artificial neural networks are based on a computational model involving the propagation of continuous variables from one processi