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Two population GA for concurrent optimization of feed-forward NN learnable and meta-parameters. Effectively an optimizer alternative to gradient descent based loosely on cooperative co-evolution ideology.
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kspurlock/GAAP
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Two population GA for concurrent optimization of feed-forward NN learnable and meta-parameters. Effectively an optimizer alternative to gradient descent based loosely on cooperative co-evolution ideology.
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