| Abstract |
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.-- Source other than the Library of Congress |
| General note | First published in Japan 2017 by Impress R&D. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Issued in other form | ebook version : 9780128182802 |
| Genre/form | Electronic books. |
| LCCN | 2021933684 |
| ISBN | 9780128182796 paperback |
| ISBN | 0128182792 paperback |
| ISBN | electronic publication |
