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Preface;
1. Introduction;
2. The basic attractor neural network;
3. General ideas concerning dynamics;
4. Symmetric neural networks at low memory loading;
5. Storage and retrieval of temporal sequences;
6. Storage capacity of ANNs;
7. Robustness - getting closer to biology;
8. Memory data structures;
9. Learning;
10. Hareware implementations of neural networks; Glossary; Index.
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Enrico Sala
reviewed Modeling Brain Function: The World of Attractor Neural Networks on August 08, 2017 Modeling Brain Function: The World of Attractor Neural Networks
Most books about neural networks are silent when it comes to less obvious details of what training feedforward networks actually does, and what the result of the network represents. This book analyzes all these details by means of statistics, and consequently gives a very solid foundation for understanding neural networks. The definitive book for feedforward neural networks - extremely good! The math-heavy treatise makes it unsuitable for a beginners book, though.
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Add Modeling Brain Function: The World of Attractor Neural Networks, Exploring one of the most exciting and potentially rewarding areas of scientific research, the study of the principles and mechanisms underlying brain function, this book introduces and explains the techniques brought from physics to the study of neural n, Modeling Brain Function: The World of Attractor Neural Networks to the inventory that you are selling on WonderClubX
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Add Modeling Brain Function: The World of Attractor Neural Networks, Exploring one of the most exciting and potentially rewarding areas of scientific research, the study of the principles and mechanisms underlying brain function, this book introduces and explains the techniques brought from physics to the study of neural n, Modeling Brain Function: The World of Attractor Neural Networks to your collection on WonderClub |
