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Thinking Machines
Machine Learning and Its Hardware Implementation
Taschenbuch von Shigeyuki Takano
Sprache: Englisch

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Beschreibung
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.
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.
Inhaltsverzeichnis
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

Details
Erscheinungsjahr: 2021
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780128182796
ISBN-10: 0128182792
Sprache: Englisch
Herstellernummer: C2018-0-02470-6
Autor: Takano, Shigeyuki
Hersteller: Academic Press
Elsevier Science & Technology
Verantwortliche Person für die EU: Zeitfracht Medien GmbH, Ferdinand-Jühlke-Str. 7, D-99095 Erfurt, produktsicherheit@zeitfracht.de
Maße: 15 x 152 x 229 mm
Von/Mit: Shigeyuki Takano
Erscheinungsdatum: 07.04.2021
Gewicht: 0,52 kg
Artikel-ID: 118403795
Inhaltsverzeichnis
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

Details
Erscheinungsjahr: 2021
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780128182796
ISBN-10: 0128182792
Sprache: Englisch
Herstellernummer: C2018-0-02470-6
Autor: Takano, Shigeyuki
Hersteller: Academic Press
Elsevier Science & Technology
Verantwortliche Person für die EU: Zeitfracht Medien GmbH, Ferdinand-Jühlke-Str. 7, D-99095 Erfurt, produktsicherheit@zeitfracht.de
Maße: 15 x 152 x 229 mm
Von/Mit: Shigeyuki Takano
Erscheinungsdatum: 07.04.2021
Gewicht: 0,52 kg
Artikel-ID: 118403795
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