December 2019
Intermediate to advanced
368 pages
11h 10m
English
Content preview from Hands-On Neuroevolution with Python
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Experiment runner
To solve the modular retina problem, we need to use a Python library that provides an implementation of the ES-HyperNEAT algorithm. If you've read the previous chapter, you are already familiar with the MultiNEAT Python library, which also has an implementation of the ES-HyperNEAT algorithm. Thus, we can use this library to create a retina experiment runner implementation.
Let's discuss the essential components of the implementation.
For full implementation details, refer to the retina_experiment.py file at https://github.com/PacktPublishing/Hands-on-Neuroevolution-with-Python/blob/master/Chapter8/retina_experiment.py.
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