daiviknema / cpp-cnn Goto Github PK
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CNN implementation from scratch
Hi, I'm trying to make a cnn which classifies images, given already learned weights and biases, on c++.
Your repository is a great place for me to learn. Can you, please, explain a part of conv_layer.Forvard
output((i/verticalStride), (j/horizontalStride), fidx) = arma::dot(arma::vectorise(input.subcube(i, j, 0,
i+filterHeight-1, j+filterWidth-1, inputDepth-1)), arma::vectorise(filters[fidx]));
Your second layer of convolution has depth = 6. So you always multiply full depth cubes. But at start
output = arma::zeros((inputHeight - filterHeight)/verticalStride + 1, (inputWidth - filterWidth) / horizontalStride + 1, numFilters);
when you initialize, you don't count depth. Shouldn't out be an array of cube(height, width, depth), with size of num_filters?
If you have any hints for me, what to update to make it work with colorful images(NxNx3), I would be very grateful.
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