How to calculate the number of parameters of convolutional neural networks?
If you refer to VGG Net with 16-layer (table 1, column D) then 138M refers to the total number of parameters of this network, i.e including all convolutional layers, but also the fully connected ones. Looking at the 3rd convolutional stage composed of 3 x conv3-256 layers: the first one has N=128 input planes and … Read more