Nist NIN testing multi-crop

Joseph Redmon

2014-08-11 176d65b76583803cf10194c4c70bdc51897f2ae3

 src/convolutional_layer.c

@@ -64,8 +64,8 @@
    layer->bias_updates = calloc(n, sizeof(float));
    layer->bias_momentum = calloc(n, sizeof(float));
    float scale = 1./(size*size*c);
    //scale = .0001;
    for(i = 0; i < c*n*size*size; ++i) layer->filters[i] = scale*(rand_uniform()-.5);
    scale = .05;
    for(i = 0; i < c*n*size*size; ++i) layer->filters[i] = scale*2*(rand_uniform()-.5);
    for(i = 0; i < n; ++i){
        //layer->biases[i] = rand_normal()*scale + scale;
        layer->biases[i] = .5;
@@ -166,7 +166,7 @@
        *convolutional_out_width(layer);
    for(b = 0; b < layer.batch; ++b){
        for(i = 0; i < layer.n; ++i){
            layer.bias_updates[i] += mean_array(layer.delta+size*(i+b*layer.n), size);
            layer.bias_updates[i] += sum_array(layer.delta+size*(i+b*layer.n), size);
        }
    }
}