I am trying to implement dropout on *W_a* matrix from theano.tensor.shared_randomstreams import RandomStreams import theano.tensor as T
rng = np.random.RandomState(1234) srng = RandomStreams(rng.randint(999999)) W_a = theano.shared(self.sample_weight(50, 50)) #'sample_weight' creates 2 dimensional random array #W_a.get_value() is a valid call W_a = W_a * srng.binomial(size=weight.shape,p=0.5) #W_a.get_value() is not a valid call anymore Can anyone tell me how to implement code such that I can call *W_a.get_value() *even after applying *dropout?* *Reference: * *http://rishy.github.io/ml/2016/10/12/dropout-with-theano/ <http://rishy.github.io/ml/2016/10/12/dropout-with-theano/>* -- --- 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 theano-users+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
