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predict funzt, hoffentlich

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Tocuro 2023-09-19 15:21:38 +02:00
parent cf7446d4b4
commit dfbe8fe1af
1 changed files with 8 additions and 9 deletions
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17
neuronal_network.c
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@ -52,20 +52,19 @@ double predict_images(Neural_Network* network, Image** images, int amount) {
Matrix* predict_image(Neural_Network* network, Image*);
Matrix* predict(Neural_Network* network, Matrix* image_data) {
Matrix* hidden1_inputs = dot(network->weights_1, image_data);
Matrix* hidden1_outputs = apply(relu, hidden1_inputs);
Matrix* hidden1_outputs = apply(relu, add(dot(network->weights_1, image_data), network->bias_1));
Matrix* hidden2_inputs = dot(network->weights_2, hidden1_outputs);
Matrix* hidden2_outputs = apply(relu, hidden2_inputs);
Matrix* hidden2_outputs = apply(relu, add(dot(network->weights_2, hidden1_outputs), network->bias_2));
Matrix* hidden3_outputs = apply(relu, add(dot(network->weights_3, hidden2_outputs), network->bias_3));
Matrix* final_outputs = apply(relu, dot(network->weights_output, hidden3_outputs));
Matrix* final_inputs = dot(net->output_weights, hidden_outputs);
Matrix* final_outputs = apply(sigmoid, final_inputs);
Matrix* result = softmax(final_outputs);
matrix_free(hidden_inputs);
matrix_free(hidden_outputs);
matrix_free(final_inputs);
matrix_free(hidden1_outputs);
matrix_free(hidden2_outputs);
matrix_free(hidden3_outputs);
matrix_free(final_outputs);
return result;