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
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Author(s): Iaroslav Omelianenko
Publisher: Packt Publishing
Published: December 2019
Format(s): Online
File size: –
Number of pages: 368
Download / View Link(s): This offer has ended.
Free as of11/12/2020 10/31/2022.
Publisher: Packt Publishing
Published: December 2019
Format(s): Online
File size: –
Number of pages: 368
Download / View Link(s): This offer has ended.
Free as of