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Cover: 9781108845359 | Deep Learning in Science | Pierre Baldi | Buch | Gebunden | Englisch
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Deep Learning in Science
Buch von Pierre Baldi
Sprache: Englisch

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Beschreibung
Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.
Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.
Über den Autor
Pierre Baldi is Distinguished Professor of Computer Science at University of California, Irvine. His main research interest is understanding intelligence in brains and machines. He has made seminal contributions to the theory of deep learning and its applications to the natural sciences, and has written four other books.
Inhaltsverzeichnis
1. Introduction; 2. Basic Concepts; 3. Shallow Networks and Shallow Learning; 4. Two-Layer Networks and Universal Approximation; 5. Autoencoders; 6. Deep Networks and Backpropagation; 7. The Local Learning Principle; 8. The Deep Learning Channel; 9. Recurrent Networks; 10. Recursive Networks; 11. Applications in Physics; 12. Applications in Chemistry; 13. Applications in Biology and Medicine; 14. Conclusion; Appendix A. Reinforcement Learning and Deep Reinforcement Learning; Appendix B. Hints and Remarks for Selected Exercises; References; Index.
Details
Erscheinungsjahr: 2021
Fachbereich: Kommunikationswissenschaften
Genre: Medienwissenschaften
Rubrik: Wissenschaften
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9781108845359
ISBN-10: 1108845355
Sprache: Englisch
Einband: Gebunden
Autor: Baldi, Pierre
Hersteller: Cambridge University Press
Maße: 250 x 174 x 23 mm
Von/Mit: Pierre Baldi
Erscheinungsdatum: 01.07.2021
Gewicht: 0,91 kg
Artikel-ID: 119477546
Über den Autor
Pierre Baldi is Distinguished Professor of Computer Science at University of California, Irvine. His main research interest is understanding intelligence in brains and machines. He has made seminal contributions to the theory of deep learning and its applications to the natural sciences, and has written four other books.
Inhaltsverzeichnis
1. Introduction; 2. Basic Concepts; 3. Shallow Networks and Shallow Learning; 4. Two-Layer Networks and Universal Approximation; 5. Autoencoders; 6. Deep Networks and Backpropagation; 7. The Local Learning Principle; 8. The Deep Learning Channel; 9. Recurrent Networks; 10. Recursive Networks; 11. Applications in Physics; 12. Applications in Chemistry; 13. Applications in Biology and Medicine; 14. Conclusion; Appendix A. Reinforcement Learning and Deep Reinforcement Learning; Appendix B. Hints and Remarks for Selected Exercises; References; Index.
Details
Erscheinungsjahr: 2021
Fachbereich: Kommunikationswissenschaften
Genre: Medienwissenschaften
Rubrik: Wissenschaften
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9781108845359
ISBN-10: 1108845355
Sprache: Englisch
Einband: Gebunden
Autor: Baldi, Pierre
Hersteller: Cambridge University Press
Maße: 250 x 174 x 23 mm
Von/Mit: Pierre Baldi
Erscheinungsdatum: 01.07.2021
Gewicht: 0,91 kg
Artikel-ID: 119477546
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