Can I read Hardware Architectures for Deep Learning on EtoBox?

Hardware Architectures for Deep Learning by Mehdi Modarressi, Masoud Daneshtalab, Masoud Daneshtala is a nonfiction available to read on EtoBox.

What is Hardware Architectures for Deep Learning about?

1 online resource (xix, 306 pages) : This book discusses innovative ideas in the design, modelling, implementation, and optimization of hardware platforms for neural networks. The book provides an overview of this emerging field, from principles to applications, for researchers, postgraduate students and engineers who work on learning-based services and hardware platforms Includes bibliographical references and index (pages 297-306) Intro -- Contents -- About the editors -- Preface -- Acknowledgments -- Part I. Deep learning and neural networks: concepts and models -- 1. An introduction to artificial neural networks / Ahmad Kalhor -- 1.1 Introduction -- 1.1.1 Natural NNs -- 1.1.2 Artificial neural networks -- 1.1.3 Preliminary concepts in ANNs -- 1.2 ANNs in classification and regression problems -- 1.2.1 ANNs in classification problems -- 1.2.2 ANNs in regression problems -- 1.2.3 Relation between classification and regression -- 1.3 Widely used NN models -- 1.3.1 Simple structure networks 1.3.2 Multilayer and deep NNs -- 1.4 Convolutional neural networks -- 1.4.1 Convolution layers -- 1.4.2 Pooling layers -- 1.4.3 Learning in CNNs -- 1.4.4 CNN examples -- 1.5 Conclusion -- Refere

Who reads Hardware Architectures for Deep Learning?

Author

Mehdi Modarressi, Masoud Daneshtalab, Masoud Daneshtala

Publisher

Stevenage, United Kingdom: The Institution of Engineering and Technology

Published

2020

Language

EN

ISBN

9781523129690

Category

nonfiction