Yes, but that does not create a shared variable. On Sunday, February 26, 2017 at 4:05:40 AM UTC-8, Kiuhnm Mnhuik wrote: > > You can generate random tensors in Theano: > > from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams > > srng = RandomStreams() # change the seed if you want > > . > . > . > > R1 = srng.normal(shape) > R2 = srng.normal(shape) > . > . > . > > > > On Saturday, February 25, 2017 at 12:49:18 PM UTC+1, Asghar Inanlou Asl > wrote: >> >> Hi all, >> I need to make a shared variable and randomly initialize it. Obviously, >> the way to do it is to use numpy to generate a random matrix and then >> change it to shared variable via theano.shared() >> However, I cannot do it because the size of the random matrix is partly >> coming from a TensorVariable so numpy gets stuck in it. >> To be particular, I have a function which multiplies the input tensor in >> a random matrix (think about what a fully connected layer does). But the >> point is the shape of the tensor might be changing. And it needs to be a >> shared variable to that I can use it as one of the parameters of my updates. >> Any comments? >> Thanks! >> >
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