| Description |
1 online resource (xi, 329 pages) : illustrations |
| Physical Medium |
polychrome |
| Description |
text file |
| Bibliography |
Includes bibliographical references (pages 313-325) and index. |
| Contents |
Getting started -- Perceptron learning -- basics -- Choice of learning rules -- Augmented statistical mechanics formulation -- Noisy teachers -- Storage problem -- Discontinuous learning -- Unsupervised learning -- On-line learning -- Making contact with statistics -- Bird's eye view: multifractals -- Multilayer networks -- On-line learning in multilayer networks -- What else? |
| Summary |
Artificial neural networks provide a simple framework for describing learning from examples. This coherent account of important concepts and techniques of statistical mechanics and their application to learning theory comes with background material in mathematics and physics, plus many examples and exercises, making it ideal for courses, self-teaching, or reference. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Neural networks (Computer science)
|
|
Neural networks (Computer science) |
|
Learning.
|
|
Learning. |
|
Artificial intelligence.
|
|
Artificial intelligence. |
| Genre/Form |
Electronic books.
|
|
Electronic books.
|
| Added Author |
Broeck, C. van den (Christian), 1954-
|
| Other Form: |
Print version: Engel, A. (Andreas), 1957- Statistical mechanics of learning. Cambridge, UK ; New York, NY : Cambridge University Press, 2001 0521773075 0521774799 (DLC) 00058516 (OCoLC)44613138 |
| ISBN |
051102021X (electronic book) |
|
9780511020216 (electronic book) |
|
9781139164542 (electronic book) |
|
1139164546 (electronic book) |
|
0511148054 |
|
9780511148057 |
|
9780511049828 |
|
051104982X |
|
0521773075 (Cloth) |
|
9780521773072 |
|
0521774799 |
|
9780521774796 |
|
