Related Books
Language: en
Pages: 292
Pages: 292
Type: BOOK - Published: 2019-11-01 - Publisher: Springer Nature
This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so attractive and heavily r
Language: en
Pages: 342
Pages: 342
Type: BOOK - Published: 2019-10-29 - Publisher: Springer Nature
This book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm supports automatic mecha
Language: en
Pages: 303
Pages: 303
Type: BOOK - Published: 2019-04-30 - Publisher: Packt Publishing Ltd
Concepts, tools, and techniques to explore deep learning architectures and methodologies Key FeaturesExplore advanced deep learning architectures using various
Language: en
Pages: 760
Pages: 760
Type: BOOK - Published: 2020-02-13 - Publisher: Springer Nature
This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal
Language: en
Pages: 125
Pages: 125
Type: BOOK - Published: 2017-08-22 - Publisher: Morgan & Claypool Publishers
This is a primer written for computer architects in the new and rapidly evolving field of deep learning. It reviews how machine learning has evolved since its i