Closed mnaetr closed 9 years ago
try this: http://cogprints.org/5869/1/cnn_tutorial.pdf or just google for [convolutional neural networks tutorial] , there are many out there.
On Mon, May 26, 2014 at 8:36 PM, mnaetr notifications@github.com wrote:
Hi, i'm using your CNN code. I need some theoretical/matemathical information. I understood that in the convolutional layers each outputmap is obtained by the sum of the convolutions of the different inputmaps with the respective kernel. Is it right? I can't find papers/tutorials that explains this passage in a detailed way. Where can i find it? Can you help me?
— Reply to this email directly or view it on GitHubhttps://github.com/sdemyanov/ConvNet/issues/11 .
Ok, thanks. I have another question. If i have a CNN with 2 layers (convolution, subsampling, convolution, subsampling), the first with N1=5 outputmas and the second with N2=3 outputmaps, how many kernel are there in the second convolutional layer? 15 (=N1xN2), is it right? Is this formula valid in general?
Yes, it is right.
On Tue, May 27, 2014 at 6:16 PM, mnaetr notifications@github.com wrote:
Ok, thanks. I have another question. If i have a CNN with 2 layers (convolution, subsampling, convolution, subsampling), the first with N1=5 outputmas and the second with N2=3 outputmaps, how many kernel are there in the second convolutional layer? 15 (=N1xN2), is it right? Is this formula valid in general?
— Reply to this email directly or view it on GitHubhttps://github.com/sdemyanov/ConvNet/issues/11#issuecomment-44246791 .
PhD candidate, Computing and Information Systems, The University of Melbourne.
Sergey Demyanov
Thank you very much! Bye
Hi, i'm using your CNN code. I need some theoretical/matemathical information. I understood that in the convolutional layers each outputmap is obtained by the sum of the convolutions of the different inputmaps with the respective kernel. Is it right? I can't find papers/tutorials that explains this passage in a detailed way. Where can i find it? Can you help me?