OUR STORE IS CLOSED ON ANZAC DAY: THURSDAY 25 APRIL

Close Notification

Your cart does not contain any items

Thinking Machines

Machine Learning and Its Hardware Implementation

Shigeyuki Takano (Keio University, Tokyo, Japan)

$165.95

Paperback

Not in-store but you can order this
How long will it take?

QTY:

English
Academic Press Inc
07 April 2021
Thinking Machines: Machine Learning and Its Hardware Implementation covers the theory and application of machine learning, neuromorphic computing and neural networks. This is the first book that focuses on machine learning accelerators and hardware development for machine learning. It presents not only a summary of the latest trends and examples of machine learning hardware and basic knowledge of machine learning in general, but also the main issues involved in its implementation. Readers will learn what is required for the design of machine learning hardware for neuromorphic computing and/or neural networks.

This is a recommended book for those who have basic knowledge of machine learning or those who want to learn more about the current trends of machine learning.

By:  
Imprint:   Academic Press Inc
Country of Publication:   United States
Dimensions:   Height: 229mm,  Width: 152mm, 
Weight:   520g
ISBN:   9780128182796
ISBN 10:   0128182792
Pages:   322
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Shigeyuki Takano received a BEEE from Nihon University, Tokyo, Japan and an MSCE from the University of Aizu, Aizuwakamatsu, Japan. He is currently a PhD student of CSE at Keio University, Tokyo, Japan. He previously worked for a leading automotive company and, currently, he is working for a leading high-performance computing company. His research interests include computer architectures, particularly coarse-grained reconfigurable architectures, graph processors, and compiler infrastructures.

See Also