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Neural Network Learning: Theoretical Foundations Anthony, Martin (London School of Economics and Political Science)
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Neural Network Learning: Theoretical Foundations
Anthony, Martin (London School of Economics and Political Science)
This book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. It is intended to be accessible to researchers and graduate students in computer science, engineering, and mathematics.
404 pages, 29 line figures
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | August 20, 2009 |
| ISBN13 | 9780521118620 |
| Publishers | Cambridge University Press |
| Pages | 404 |
| Dimensions | 153 × 230 × 24 mm · 653 g |
| Language | English |
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