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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… Read more
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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
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