Solved by ptrblck in post #2 
              
              
                The number of parameters seems to be correct and you could simply verify it via: 
nb_params = conv.weight.nelement() # + conv.bias.nelement() (you can skip the bias, as it's insignificant compared to the weights)

Since your transposed convolution uses a stride of 2, the kernels will be applied to l…