MLP versus Feed forward NN

[meetu30]

Hi,
I have a question on the difference between MLP and FFNN. I understand that theoretically, MLP is fully connected version of FFNN only. I need to understand the difference at implementation level. So the pytorch implementation for feed forward is exactly the same as MLP. Both have same init function (where you define sequential layers), then forward function. My question is what's the difference between the two in terms of implementing the code. Kindly guide.
Thanks!