Hi all, Using the code at the tutorial <http://deeplearning.net/tutorial/rbm.html#rbm> as a starting point, I've been able to implement an RBM with Gaussian visible layers simply by overwriting the free_energy, sample_v_given_h and get_reconstruction_cost methods. As per Nair and Hinton <https://www.cs.toronto.edu/~hinton/absps/reluICML.pdf>, I'm trying to implement an RBM with ReLU hidden units. How should this be done? I'm not sure how to sample p(v|h), since interpreting max(0,x) as a probability must have some caveats. Also, how should the free_energy function be modified?
Thanks, Russell. -- --- 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.
