Sadly, no. Fred
Le lun. 19 juin 2017 06:39, Sunjeet Jena <[email protected]> a écrit : > 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. > -- --- 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.
