I'm not sure I understand your question. Have you read the convolution arithmetic tutorial [1]? It might help.
[1] http://theano.readthedocs.io/en/master/tutorial/conv_arithmetic.html On Wed, Dec 21, 2016, Feras Almasri wrote: > What is saw by using conv2d_grad_wrt_inputs *it is to do de**convolution** on > feature maps by using a 2D kernel. in the case where you have multiple > channels who is this applied? * > *I did think of using conv2d function with stride and padding but then the > idea how to match the assertion between between the input channels and the > filter size. If I chose one feature map to deconv and the output should be > RGB image ? * > > > -- > > --- > You received this message because you are subscribed to the Google Groups > "theano-users" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > For more options, visit https://groups.google.com/d/optout. -- Pascal -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
