Next steps
Next up is dropout layers. remember that it can be used to see uncerstaty in multiply output, which is not in the book
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@@ -66,7 +66,7 @@ namespace neural_networks{
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dbiases = numerics::sum_rowwise(dvalues);
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// Gradients on regularization
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// Gradients on regularization
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// L1 on weights
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if(weight_regularizer_l1){
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utils::Matrix<T> dL1(weights.rows(), weights.cols(), T{1});
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