|
|
Sold Out
Book Categories |
| 1 | Statistical Pattern Recognition | 1 |
| 2 | Probability Density Estimation | 33 |
| 3 | Single-Layer Networks | 77 |
| 4 | The Multi-layer Perceptron | 116 |
| 5 | Radial Basis Functions | 164 |
| 6 | Error Functions | 194 |
| 7 | Parameter Optimization Algorithms | 253 |
| 8 | Pre-processing and Feature Extraction | 295 |
| 9 | Learning and Generalization | 332 |
| 10 | Bayesian Techniques | 385 |
| Symmetric Matrices | 440 | |
| Gaussian Integrals | 444 | |
| Lagrange Multipliers | 448 | |
| Calculus of Variations | 451 | |
| Principal Components | 454 | |
| References | 457 | |
| Index | 477 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Margaret Watts
reviewed Neural Networks for Pattern Recognition on May 17, 2017 Neural Networks for Pattern Recognition
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.
Login|Complaints|Blog|Games|Digital Media|Souls|Obituary|Contact Us|FAQ
CAN'T FIND WHAT YOU'RE LOOKING FOR? CLICK HERE!!! X
You must be logged in to add to WishlistX
This item is in your Wish List
X
This item is in your Collection
Neural Networks for Pattern Recognition
X
This Item is in Your Inventory
Neural Networks for Pattern Recognition
X
You must be logged in to review the productsX
X
X
Add Neural Networks for Pattern Recognition, This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques for modeling probability density functions and the proper, Neural Networks for Pattern Recognition to the inventory that you are selling on WonderClubX
X
Add Neural Networks for Pattern Recognition, This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques for modeling probability density functions and the proper, Neural Networks for Pattern Recognition to your collection on WonderClub |
