Thinking Machines

Machine Learning and Its Hardware Implementation

Shigeyuki Takano (Autor)

Buch | Softcover

322 Seiten

2021
Academic Press Inc (Verlag)
978-0-12-818279-6 (ISBN)

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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.

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.

1. Introduction
2. Traditional Microarchitectures
3. Machine Learning and its Implementation
4. Applications, ASICs, and Domain-Specific Architectures
5. Machine Learning Model Development
6. Performance Improvement Methods
7. Study of Hardware Implementation
8. Keys of Hardware Implementation
9. Conclusion

Appendix
A. Basics of Deep Learning
B. Modeling of Deep Learning Hardware
C. Advanced Network Models
D. National Trends for Research and Its Investment
E. Machine Learning and Social

Erscheinungsdatum	12.04.2021
Verlagsort	San Diego
Sprache	englisch
Maße	152 x 229 mm
Gewicht	520 g
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
ISBN-10	0-12-818279-2 / 0128182792
ISBN-13	978-0-12-818279-6 / 9780128182796
Zustand	Neuware