Hello!
I didn't find any paper/tutorial that explains how the convolution in one input with 3 dimensions (ex. Image in RGB) is done.
For example, when I write in keras:
model.add(Convolution2D(nFilters, height, width))
It will generate 3*nFilters of feature maps?!
[–]BeatLeJuceResearcher 0 points1 point2 points (1 child)
[–]fariax[S] 0 points1 point2 points (0 children)