Thinking Machines
Academic Press Inc (Verlag)
978-0-12-818279-6 (ISBN)
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 |
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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 |
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