Hands-On Neuroevolution with Python

Hands-On Neuroevolution with Python will give you comprehensive insights into essential neuroevolution concepts and equip you with the skills you need to apply neuroevolution-based algorithms to solve practical, real-world problems. (Limited-time offer)

Table of Contents

• Section 1: Fundamentals of Evolutionary Computation Algorithms and Neuroevolution Methods
• Overview of Neuroevolution Methods
• Python Libraries and Environment Setup
• Section 2: Applying Neuroevolution Methods to Solve Classic Computer Science Problems
• Using NEAT for XOR Solver Optimization
• Pole-Balancing Experiments
• Autonomous Maze Navigation
• Novelty Search Optimization Method
• Section 3: Advanced Neuroevolution Methods
• Hypercube-Based NEAT for Visual Discrimination
• ES-HyperNEAT and the Retina Problem
• Co-Evolution and the SAFE Method
• Deep Neuroevolution
• Section 4: Discussion and Concluding Remarks
• Best Practices, Tips, and Tricks
• Concluding Remarks

Download Free PDF / Read Online