info2praktikum-neuronalesnetz/neuralNetwork.c

@@ -118,10 +118,6 @@ static void assignActivations(NeuralNetwork model)
     if(model.numberOfLayers > 0)
         model.layers[model.numberOfLayers-1].activation = softmax;
 }
-#include <stdio.h>
-#include <stdlib.h>
-#include <string.h>
-#include "neuralNetwork.h"
 
 NeuralNetwork loadModel(const char *path)
 {
@@ -172,7 +168,6 @@ NeuralNetwork loadModel(const char *path)
     return model;
 }
 
-
 static Matrix imageBatchToMatrixOfImageVectors(const GrayScaleImage images[], unsigned int count)
 {
     Matrix matrix = {NULL, 0, 0};
@@ -259,7 +254,6 @@ unsigned char *predict(const NeuralNetwork model, const GrayScaleImage images[],
     return result;
 }
 
-
 void clearModel(NeuralNetwork *model)
 {
     if(model != NULL)

info2praktikum-neuronalesnetz/neuralNetworkTests.c

@@ -38,7 +38,6 @@ static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
         fwrite(layer.biases.buffer, sizeof(MatrixType), biasCount, file);
     }
 
-
     // End-Marker (inputDim = 0)
     unsigned int zero = 0;
     fwrite(&zero, sizeof(unsigned int), 1, file);