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by bob1029
216 days ago
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> While playing around with this setup, I tried re-training the network with the activation function for the first layer replaced with sin(x) and it ends up working pretty much the same way. There is some evidence that the activation functions and weights can be arbitrarily selected assuming you have a way to evolve the topology of the network. https://arxiv.org/abs/1906.04358 |
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