SirBob01/HyperNEAT
C++ ES-HyperNEAT algorithm implementation
This project helps researchers and developers explore and optimize neural network architectures using an evolutionary approach. It takes randomly generated network patterns and, through a simulated natural selection process, evolves them to perform specific tasks. This is ideal for those working on complex AI problems where traditional neural network design is challenging.
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Use this if you are an AI researcher or a developer interested in automatically designing and optimizing neural network structures through an evolutionary process rather than manual configuration.
Not ideal if you are looking for a tool to train pre-defined neural network architectures or for a solution that doesn't involve evolutionary computation for network design.
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Language
C++
License
MIT
Category
Last pushed
Apr 28, 2022
Commits (30d)
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