better demo

Joseph Redmon

2016-06-23 52a6c30748c0cc115e77e9301ac631dd5fd8954c

 src/network.c

@@ -64,6 +64,7 @@
        case EXP:
            return net.learning_rate * pow(net.gamma, batch_num);
        case POLY:
            if (batch_num < net.burn_in) return net.learning_rate * pow((float)batch_num / net.burn_in, net.power);
            return net.learning_rate * pow(1 - (float)batch_num / net.max_batches, net.power);
        case RANDOM:
            return net.learning_rate * pow(rand_uniform(0,1), net.power);
@@ -392,6 +393,11 @@
    int i;
    for(i = 0; i < net->n; ++i){
        net->layers[i].batch = b;
        #ifdef CUDNN
        if(net->layers[i].type == CONVOLUTIONAL){
            cudnn_convolutional_setup(net->layers + i);
        }
        #endif
    }
}