From 8ebb1f7640a5dccb1f58ed8b06d0d87c71e02b51 Mon Sep 17 00:00:00 2001 From: Ghost_Element Date: Sat, 23 Sep 2023 12:31:59 +0200 Subject: [PATCH] holy fk --- neuronal_network.c | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/neuronal_network.c b/neuronal_network.c index c5068f3..144f6e4 100644 --- a/neuronal_network.c +++ b/neuronal_network.c @@ -8,22 +8,22 @@ Matrix* predict(Neural_Network* network, Matrix* image_data); double square(double input); Matrix * backPropagation(double learning_rate, Matrix* weights, Matrix* biases, Matrix* current_layer_activation, Matrix* previous_layer_activation, Matrix* sigma_old); -Neural_Network* new_network(int input_size, int hidden_size, int output_size, double learning_rate){ - Neural_Network *network = malloc(sizeof(Neural_Network)); +Neural_Network* new_network(int input_size, int hidden_size, int hidden_amount, int output_size, double learning_rate){ + Neural_Network* network = malloc(sizeof(Neural_Network)); // initialize networks variables network->hidden_size = hidden_size; network->input_size = input_size; network->output_size = output_size; network->learning_rate = learning_rate; - network->weights_1 = matrix_create(hidden_size, input_size); - network->weights_2 = matrix_create(hidden_size, hidden_size); - network->weights_3 = matrix_create(hidden_size, hidden_size); - network->weights_output = matrix_create(output_size, hidden_size); - network->bias_1 = matrix_create(hidden_size, 1); - network->bias_2 = matrix_create(hidden_size, 1); - network->bias_3 = matrix_create(hidden_size, 1); - network->bias_output = matrix_create(output_size, 1); + Matrix** weights = malloc(sizeof(Matrix)*(hidden_amount + 1)); + network->weights = weights; + + network->weights[0] = matrix_create(hidden_size, input_size+1); + for(int i=1;iweights[i] = matrix_create(hidden_size, hidden_size+1); + } + network->weights[hidden_amount] = matrix_create(output_size, hidden_size); return network; }