Filtering - rugbyprof/5443-Data-Mining GitHub Wiki

The convnet uses learned filters to convolve the feature maps from the previous layer. To invert this, the de conv net uses transposed versions of the same filters, but applied to the rectified maps, not the output of the layer beneath. In practice this means flipping each filter vertically and horizontally.