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2 changed files with 23 additions and 1 deletions

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@ -170,7 +170,7 @@ NeuralNetwork loadModel(const char *path)
static Matrix imageBatchToMatrixOfImageVectors(const GrayScaleImage images[], unsigned int count)
{
Matrix matrix = {NULL, 0, 0};
Matrix matrix = {0, 0, NULL}; // TODO changed this line to fit our functionality
if(count > 0 && images != NULL)
{

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@ -9,6 +9,28 @@
static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
{
// TODO
FILE* file = fopen(path, "wb");
if(file == NULL) {
printf("Failed to open file");
return;
}
const char* header = "__info2_neural_network_file_format__";
fwrite(header, sizeof(const char), strlen(header), file);
fwrite(&(nn.numberOfLayers), sizeof(unsigned int), 1, file);
fwrite(&(nn.numberOfLayers), sizeof(unsigned int), 1, file);
for(int i = 0; i < nn.numberOfLayers; i++) {
//write everything to do with weights
fwrite(&(nn.layers[i].weights.rows), sizeof(unsigned int), 1, file);
fwrite(&(nn.layers[i].weights.cols), sizeof(unsigned int), 1, file);
fwrite(nn.layers[i].weights.buffer, sizeof(MatrixType), nn.layers[i].weights.rows * nn.layers[i].weights.cols, file);
//write everything to do with biases
fwrite(&(nn.layers[i].biases.rows), sizeof(unsigned int), 1, file);
fwrite(&(nn.layers[i].biases.cols), sizeof(unsigned int), 1, file);
fwrite(nn.layers[i].biases.buffer, sizeof(MatrixType), nn.layers[i].biases.rows * nn.layers[i].biases.cols, file);
}
fclose(file);
}
void test_loadModelReturnsCorrectNumberOfLayers(void)