Solved by ptrblck in post #2 
              
              
                Conv kernels operate on the whole input channels as described in your link. 
The out_channels give the number of different kernels used. 
So in your first conv layer you are using 6 different kernels with a size of [3, 5, 5]. 
In other words, each kernel has a spatial size of 5 and a depth of 3, sin…