Neural Network Learning: Theoretical Foundations
Overview & Synopsis
This book describes recent 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.
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Document Information
| Document Title | Neural Network Learning: Theoretical Foundations |
|---|---|
| Author / Organization | Martin Anthony and Peter L. Bartlett |
| Subject & Discipline | Neural Networks and Deep Learning, Machine Learning, Artificial Intelligence and Logic Programming, Algorithms and Data Structures |
| Categories | Neural Networks and Deep Learning |
| Resource Verification | Verification pending |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-93348 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |