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https://github.com/pjreddie/darknet.git
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Some fixes to momentum
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@@ -64,10 +64,10 @@ convolutional_layer *make_convolutional_layer(int batch, int h, int w, int c, in
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layer->bias_updates = calloc(n, sizeof(float));
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float scale = 1./(size*size*c);
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scale = .01;
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for(i = 0; i < c*n*size*size; ++i) layer->filters[i] = scale*2*(rand_uniform()-.5);
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for(i = 0; i < c*n*size*size; ++i) layer->filters[i] = scale*rand_normal();
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for(i = 0; i < n; ++i){
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//layer->biases[i] = rand_normal()*scale + scale;
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layer->biases[i] = .5;
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layer->biases[i] = .01;
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}
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int out_h = convolutional_out_height(*layer);
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int out_w = convolutional_out_width(*layer);
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@@ -204,7 +204,7 @@ void update_convolutional_layer(convolutional_layer layer)
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axpy_cpu(layer.n, layer.learning_rate, layer.bias_updates, 1, layer.biases, 1);
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scal_cpu(layer.n, layer.momentum, layer.bias_updates, 1);
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scal_cpu(size, 1.-layer.learning_rate*layer.decay, layer.filters, 1);
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axpy_cpu(size, -layer.decay, layer.filters, 1, layer.filter_updates, 1);
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axpy_cpu(size, layer.learning_rate, layer.filter_updates, 1, layer.filters, 1);
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scal_cpu(size, layer.momentum, layer.filter_updates, 1);
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}
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@@ -409,7 +409,7 @@ void update_convolutional_layer_gpu(convolutional_layer layer)
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axpy_ongpu(layer.n, layer.learning_rate, layer.bias_updates_cl, 1, layer.biases_cl, 1);
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scal_ongpu(layer.n,layer.momentum, layer.bias_updates_cl, 1);
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scal_ongpu(size, 1.-layer.learning_rate*layer.decay, layer.filters_cl, 1);
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axpy_ongpu(size, -layer.decay, layer.filters_cl, 1, layer.filter_updates_cl, 1);
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axpy_ongpu(size, layer.learning_rate, layer.filter_updates_cl, 1, layer.filters_cl, 1);
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scal_ongpu(size, layer.momentum, layer.filter_updates_cl, 1);
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pull_convolutional_layer(layer);
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