Deep Learning in Science
(Sprache: Englisch)
Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.
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Klappentext zu „Deep Learning in Science “
Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.
Inhaltsverzeichnis zu „Deep Learning in Science “
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.
Autoren-Porträt von Pierre (University of California, Irvine) Baldi
University of California, Irvine
Bibliographische Angaben
- Autor: Pierre (University of California, Irvine) Baldi
- 450 Seiten, Maße: 17,4 x 25 cm, Gebunden, Englisch
- Verlag: Cambridge University Press
- ISBN-10: 1108845355
- ISBN-13: 9781108845359
- Erscheinungsdatum: 01.07.2021
Sprache:
Englisch
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