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The Evolution of Neural Networks
Neural evolution is a combination of neural networks and evolution computation in many different forms. The early versions were simply using evolution as a way to construct the neural network instead of stochastic gradient, it's a descent or back propagation. And now we can use evolution to give that design for you. It might mean optimizing hyperparameters, like the depth of layers and so on,. Or the topology of the network, how many layers, how they connected.