Can we implement it using normal 'for' function of python? Like, saving all the parameters in a list and then taking the gradient .
On Monday, 19 June 2017 10:42:24 UTC+5:30, Jesse Livezey wrote: > > You can use the scan function to create RNN architectures. > > http://deeplearning.net/software/theano/library/scan.html > > On Sunday, June 18, 2017 at 4:13:44 PM UTC-7, Sunjeet Jena wrote: >> >> I am building a multi-layer RNN network and thus need a way to back >> propagate through time in Theano. Does theano automatically knows how to >> unfold the network as a feed forward network? >> > -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
