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
2026-05-16 21:36:19 +02:00
parent eb2374eaf5
commit be2c193341
1 changed files with 1 additions and 1 deletions
@@ -66,7 +66,7 @@ namespace neural_networks{
        	dbiases = numerics::sum_rowwise(dvalues);
-        	// Gradients on regularization
+        	// Gradients on regularization 
        	// L1 on weights
        	if(weight_regularizer_l1){
        		utils::Matrix<T> dL1(weights.rows(), weights.cols(), T{1});