I want my Restricted Boltzmann Machine to learn a new representation of real-valued data (see: Hinton - 2010 - A Practical Guide to Training RBMs). I'm struggling with an implementation of Gaussian...

I would like to use RBM in scikit. I can define and train a RBM like many other classifiers. from sklearn.neural_network import BernoulliRBM clf = BernoulliRBM(random_state=0, verbose=True) clf.fi...

I want to have a nitty-gritty understanding of Restricted Boltzman Machines with continuous input variables. I am trying to devise the most trivial possible example, so that the behavior could be e...

Context: I am implementing Gaussian Bernoulli RBM, it is like the popular RBM but with real-valued visible units. True that the procedure of sampling hidden values p(h=1|v) are the same for both,...

Since last few days I am reading and studying about Restricted Boltzmann machines and Deep Learning. Now to test the ability of Deep learning I am in search of Java code. I searched for long ...

According a deeplearning tutorial: The free energy in python is def free_energy(self, v_sample): ''' Function to compute the free energy ''' wx_b = T.dot(v_sample, self.W) + self.hbias vbias_t...

I am trying to recreate the results reported in Reducing the dimensionality of data with neural networks of autoencoding the olivetti face dataset with an adapted version of the MNIST digits matlab...