Efficient Processing Of Deep Neural Networks
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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: 233
Pages: 233
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: 245
Pages: 245
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature
This book describes deep learning systems: the algorithms, compilers, and processor components to efficiently train and deploy deep learning models for commerci
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: 89
Pages: 89
Type: BOOK - Published: 2009-11-09 - Publisher: Springer Science & Business Media
Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the represent
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