Hi,
I am trying to pickle a trained dbn for later use (from deeplearning 01
docum. examples) but dont get the results i am expecting.
I use to pickle:
pickle.dump(dbn, f)
and to unpickle, in a predict function:
dbnt=pickle.load(open('trainedDBN.pkl', 'rb'))
DBN object:
dbn = DBN(numpy_rng=numpy_rng,
n_ins=in_num,
hidden_layers_sizes=[n_l_1,n_l_2],
n_outs=out_num)
I suspect that numpy_rng that is used to initialize sub objects of dbn is
the cause (the loaded dbn gets new values from numpy_rng and not the ones
it was trained).
If numpy_rng is the cause , how do i pickle a trained DBN?
Thanks in advance...
--
---
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.
