I'm trying to implement a convolutional neural network at the moment. A simple feedforward network is not the problem but I'm having some trouble with the weight adjustment in the conv layer.
Lets assume I have four layers. Input, convolution, hidden and output.
src:http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/
In the picture above we just see the input and the convolution layer. The deltas of the convolution layer are calculated as in a normal feedforward network. But how do I update the weights/filtermatrix between input and convolutionlayer?