NuGet Gallery Feed for CATNeuroNeural 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.https://www.nuget.org/packages/CATNeuro/2021-04-12T12:21:56Zhttps://www.nuget.org/packages/CATNeuro/1.2.1CATNeuro 1.2.12021-04-12T12:19:51Z2021-04-12T12:21:56Zfwarishttps://www.nuget.org/profiles/fwarisNeural 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.https://www.nuget.org/packages/CATNeuro/1.0.2CATNeuro 1.0.22021-01-15T02:32:25Z2021-01-15T02:34:36Zfwarishttps://www.nuget.org/profiles/fwarisNeural 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.