Softmax + Categorical Crossentropy

I fixed the activation+loss function, you can't select it directly, it automaticly uses it if it can. I also fixed one-hot generator. Still haven't tested the activation + loss nor any other backward function. I'll do that when I get to the optimizers which is next.

include/neural_network/activation_loss/activation_softmax_loss_categorical_crossentropy.hpp

@@ -54,47 +54,9 @@ namespace panic{
  *
  * The struct is used in PANIC nural_network library.
  */
-struct activation_softmax_loss_categorical_crossentropy: loss{
-
-     activation_softmax activation;
-     loss_categorical_crossentropy loss;
-
-
-    /**
-     * @brief Empthy constructor
-     *
-     */
-	activation_softmax_loss_categorical_crossentropy();
-
-    /**
-     * @brief Default de-constructor
-     *
-     */
-	~activation_softmax_loss_categorical_crossentropy() = default;
-
-    /**
-     * @brief forward function to calculate losses
-     *
-     * @param y_pred Matrix of model predection.  
-     * @param y_true Vector of true label of data.
-     * 
-     */
-     bool forward(const panic::tensor::real_matrix& y_pred, const panic::tensor::uint_vector& y_true) override;
-
-    /**
-     * @brief forward function to calculate losses
-     *
-     * @param y_pred Matrix of model predection.  
-     * @param y_true Vector of true label of data.
-     * 
-     * @Note Overloaded if one-shot endcoded
-     *         is used.
-     */
-    bool forward(const panic::tensor::real_matrix& y_pred, const panic::tensor::real_matrix& y_true) override;
-
-
-
+struct activation_softmax_loss_categorical_crossentropy{
 
+     panic::tensor::real_matrix dinputs;
 
     /**
      * @brief backward function to calculate from losses