Learning in energy-efficient neuromorphic computing : algorithm and architecture co-design

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Tác giả: Pinaki Mazumder, Nan Zheng

Ngôn ngữ: eng

ISBN-13: 978-1119507369

Ký hiệu phân loại: 006.32 Neural nets (Neural networks)

Thông tin xuất bản: Hoboken, New Jersey : Wiley-IEEE Press, 2019

Mô tả vật lý: 1 PDF (296 pages).

Bộ sưu tập: Tài liệu truy cập mở

ID: 313938

"This book focuses on how to build energy-efficient hardware for neural network with learning capabilities. One of the striking features of this book is that it strives to provide a co-design and co-optimization methodologies for building hardware neural networks that can learn. The book provides a complete picture from high-level algorithm to low-level implementation details. The book also covers many fundamentals and essentials in neural networks, e.g., deep learning, as well as hardware implementation of neural networks. This book will serve as a good resource for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities"-- Provided by publisher.
Includes bibliographical references and index.
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