Artificial Neural Networks with Java (2nd Ed., 2nd ed.) Tools for Building Neural Network Applications
- Use Java for the development of neural network applications
- Prepare data for many different tasks
- Carry out some unusual neural network processing
- Use a neural network to process non-continuous functions
- Develop a program that recognizes handwritten digits
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.
Date de parution : 10-2021
Ouvrage de 631 p.
17.8x25.4 cm