[mlpack] Doubt regarding functioning of Recurrent network and Feed Forward Network

[Abhinav Gupta]

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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