Introduction to Neural Networks for C#, Second Edition
- Chapter 1: Overview of Neural Networks
- Chapter 2: Matrix Operations
- Chapter 3: Using a Hopfield Neural Network
- Chapter 4: How a Machine Learns
- Chapter 5: Feedforward Backpropagation Neural Networks
- Chapter 6: Understanding Genetic Algorithms
- Chapter 7: Understanding Simulated Annealing
- Chapter 8: Pruning Neural Networks
- Chapter 9: Predictive Neural Networks
- Chapter 10: Application to the Financial Markets
- Chapter 11: Understanding the Self-Organizing Map
- Chapter 12: OCR with the Self-Organizing Map
- Chapter 13: Bot Programming and Neural Networks
- Chapter 14: The Future of Neural Networks
New forum topics
- Need help with LSTM libraries
- Memory usage in Java
- Delphi
- Stock Market Question
- Output priorities, retrieving input weights
- Local Minima Question
- Forest Cover Midterm and other Assignments in Java book and Youtube
- Forest Cover Midterm and other Assignments in Java book and Youtube
- using this course for robotics
- correlated assets in a single network




