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https://github.com/pjreddie/darknet.git
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Ensemble
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@ -174,18 +174,18 @@ int train_network_datum(network net, double *x, double *y, double step, double m
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return (y[class]?1:0);
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}
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double train_network_sgd(network net, data d, double step, double momentum,double decay)
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double train_network_sgd(network net, data d, int n, double step, double momentum,double decay)
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{
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int i;
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int correct = 0;
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for(i = 0; i < d.X.rows; ++i){
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for(i = 0; i < n; ++i){
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int index = rand()%d.X.rows;
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correct += train_network_datum(net, d.X.vals[index], d.y.vals[index], step, momentum, decay);
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if((i+1)%10 == 0){
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printf("%d: %f\n", (i+1), (double)correct/(i+1));
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}
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//if((i+1)%10 == 0){
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// printf("%d: %f\n", (i+1), (double)correct/(i+1));
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//}
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}
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return (double)correct/d.X.rows;
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return (double)correct/n;
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}
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void train_network(network net, data d, double step, double momentum, double decay)
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@ -269,6 +269,27 @@ void visualize_network(network net)
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}
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}
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double *network_predict(network net, double *input)
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{
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forward_network(net, input);
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double *out = get_network_output(net);
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return out;
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}
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matrix network_predict_data(network net, data test)
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{
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int i,j;
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int k = get_network_output_size(net);
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matrix pred = make_matrix(test.X.rows, k);
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for(i = 0; i < test.X.rows; ++i){
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double *out = network_predict(net, test.X.vals[i]);
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for(j = 0; j < k; ++j){
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pred.vals[i][j] = out[j];
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}
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}
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return pred;
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}
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void print_network(network net)
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{
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int i,j;
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@ -306,17 +327,12 @@ void print_network(network net)
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fprintf(stderr, "\n");
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}
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}
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double network_accuracy(network net, data d)
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{
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int i;
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int correct = 0;
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int k = get_network_output_size(net);
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for(i = 0; i < d.X.rows; ++i){
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forward_network(net, d.X.vals[i]);
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double *out = get_network_output(net);
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int guess = max_index(out, k);
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if(d.y.vals[i][guess]) ++correct;
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}
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return (double)correct/d.X.rows;
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matrix guess = network_predict_data(net, d);
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double acc = matrix_accuracy(d.y, guess);
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free_matrix(guess);
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return acc;
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}
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