| mlp_train.c | 111 double compute_gradient(MLPTrain *net, float *inputs, float *outputs, int nbSamples, double *W0_grad, double *W1_grad, double *error_rate)
125 error_rate[i] = 0;
158 error_rate[i] += fabs(error[i])>1;
199 double error_rate[MAX_OUT]; member in struct:GradientArg
218 arg->rms = compute_gradient(arg->net, arg->inputs, arg->outputs, arg->nbSamples, arg->W0_grad, arg->W1_grad, arg->error_rate);
300 double error_rate[2] = {0,0}; local
311 error_rate[0] += args[i].error_rate[0];
312 error_rate[1] += args[i].error_rate[1]
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