Hii Marcus, I have few doubts: - in mlpack/core/optimizers/sgd/sgd_impl.hpp what is the value of the variable function. I was following mlpack/tests/recurrent_network_tests.cpp line no 95. - while training the network we follow the same procedure (net.Train(optimizer) ). So I'm not able to figure out how is the process different for Feed Forward and Recurrent Networks. I read in comments that RecurrentLayer has recurrentParameter instead of inputParameter, but how is it creating the difference. Please can you point me in the right direction.
Thanks, Abhinav
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