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Artificial neural networks with Java : tools for building neural network applications /
Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second edition shows you how to manually process your first neural network example. The book covers the internals of front and back propagation and helps you understan...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Apress,
2022.
|
| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Part 1: Getting Started with Neural Networks
- Chapter 1. Learning Neural Network
- Chapter 2. Internal Mechanism of Neural Network Processing
- Chapter 3. Manual Neural Network Processing
- Part 2: Neural Network Java Development Environment
- Chapter 4. Configuring Your Development Environment
- Chapter 5. Neural Network Development Using Java Encog Framework
- Chapter 6. Neural Network Prediction Outside of the Training Range
- Chapter 7. Processing Complex Periodic Functions
- Chapter 8. Approximating Non-Continuous Functions
- Chapter 9. Approximation Continuous Functions with Complex Topology
- Chapter 10. Using Neural Network for Classification of Objects
- Chapter 11. Importance of Selecting the Correct Model
- Chapter 12. Approximation of Functions in 3-D Space
- Part 3: Introduction to Computer Vision
- Chapter 13. Image Recognition
- Chapter 14. Classification of Handwritten Digits. .