CATNeuro (nuget): Neural architecture search for deep learning models based on the NEAT (Neuroevolution of Augmenting Topologies) methodology. Two types of evolutionary drivers are included: a) Cultural Algorithms and b) NEAT's basic elitist approach. See project site for details. CATNeuro requires a translator / evaluator to translate abstract neural network models into concrete models for a particular deep learning toolkit. The project site provides an example of a translator for the CNTK toolkit at this time.
Keywords: |cultural-algorithms-framework|deep-learning|evolutionary-algorithms|game-theory|neural-architecture-search|neural-network