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/layer/layer_dense.hpp

@@ -58,30 +58,6 @@ namespace panic{
  */
 struct layer_dense : trainable_layer{
 
-     /**
-     * @brief Emphty matrix to store input data
-     *
-     */
-    panic::tensor::real_matrix ipnuts;
-
-	 /**
-     * @brief Emphty weight matrix to store layer weights
-     *
-     * Weight shape:
-     * input_size x neuron_count
-     */
-	panic::tensor::real_matrix weights;
-    panic::tensor::real_matrix dweights;
-
-	 /**
-     * @brief Emphty bias vector to store layer bias
-     *
-     * Bias shape:
-     * 1 x neuron_count
-     */
-	panic::tensor::real_vector biases;
-    panic::tensor::real_vector dbiases;
-
     /**
      * @brief Empthy constructor
      *
@@ -103,6 +79,16 @@ struct layer_dense : trainable_layer{
      */
 	~layer_dense() = default;
 
+    /**
+     * @brief get_type function for layer
+     *
+     * @returns the layer type
+     * 
+     */
+    layer_type get_type() const override {
+        return layer_type::layer_dense;
+    }
+
     /**
      * @brief Forward function for layer
      *