[mlpack-git] [mlpack/mlpack] NeuralEvolution - implemented gene, genome (#686)
Marcus Edel
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Wed Jun 8 20:30:49 EDT 2016
> + return aDepth;
> + }
> +
> + // Set neurons' input and output to zero.
> + void Flush() {
> + for (unsigned int i=0; i<aNeuronGenes.size(); ++i) {
> + aNeuronGenes[i].aActivation = 0;
> + aNeuronGenes[i].aInput = 0;
> + }
> + }
> +
> + // Activate genome. The last dimension of input is always 1 for bias. 0 means no bias.
> + void Activate(std::vector<double>& input) {
> + assert(input.size() == aNumInput);
> + Flush();
> +
If we reset the activation at the beginning, we can't use the activation at time (t - 1) from a unit that has a recurrent connection, right? I'm not sure we have to reset the activation at all, we could just overwrite the existing.
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