Book description
- Prepare your data for many different tasks
- Carry out some unusual neural network tasks
- Create neural network to process non-continuous functions
- Select and improve the development model
Table of contents
- Cover
- Front Matter
- 1. Learning About Neural Networks
- 2. Internal Mechanics of Neural Network Processing
- 3. Manual Neural Network Processing
- 4. Configuring Your Development Environment
- 5. Neural Network Development Using the Java Encog Framework
- 6. Neural Network Prediction Outside the Training Range
- 7. Processing Complex Periodic Functions
- 8. Approximating Noncontinuous Functions
- 9. Approximating Continuous Functions with Complex Topology
- 10. Using Neural Networks to Classify Objects
- 11. The Importance of Selecting the Correct Model
- 12. Approximation of Functions in 3D Space
- Back Matter
Product information
- Title: Artificial Neural Networks with Java: Tools for Building Neural Network Applications
- Author(s):
- Release date: April 2019
- Publisher(s): Apress
- ISBN: 9781484244210
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