See if this helps: https://github.com/shubhomoydas/dcgan_no_gpu
On Wednesday, December 21, 2016 at 7:09:57 AM UTC-8, 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.
