Nice summary of NEAT. Given Neuro Evolution evolves efficient structure, this suggests training NEAT on a dataset produced by pre-trained deep networks could d

Nice summary of NEAT. Given Neuro Evolution evolves efficient structure, this suggests training NEAT on a dataset produced by pre-trained deep networks could distill highly optimised functions. Evolving specialised components like LSTM is an intruiging possibility. Great to see Karpathy's Recurrent.js making prototyping easy and immediately accessible. Ken Stanley's innovation markers to allow succesful crossover of augmenting Neuro Topologies is powerful tool.