CatagoricalCrossentrophy

Fixed the loss functions for categories and is ready for accuracy calculation on page 129

include/modules/neural_networks/activation_functions/Activation_Softmax.h

@@ -0,0 +1,40 @@
+#pragma once
+
+#include "./core/omp_config.h"
+
+#include "./utils/vector.h"
+#include "./utils/matrix.h"
+
+#include "./numerics/matmax.h"
+#include "./numerics/matsubtract.h"
+#include "./numerics/matexp.h"
+#include "./numerics/matdiv.h"
+
+
+namespace neural_networks{
+
+	template <typename T>
+	struct Activation_Softmax{
+
+			utils::Matrix<T> exp_values;
+			utils::Matrix<T> probabilities;
+			utils::Matrix<T> outputs;
+
+	        void forward(const utils::Matrix<T>& inputs){
+	
+	        	// Get unnormalized probabilities
+			    exp_values = numerics::matexp(numerics::matsubtract(inputs, numerics::matmax(inputs, "rows"), "col"));
+
+			    // Normalize them for each sample
+			    probabilities = numerics::matdiv(exp_values, numerics::matsum(exp_values, "col"), "col");
+
+
+			    outputs = probabilities;
+
+	        }
+
+	};
+
+
+
+} // end namespace neural_networks