I am struggling to make the mathematical connection between a neural network and a graphical model. In graphical models the idea is simple: the probability distribution factorizes according to the ...
I am getting the impression that when people are referring to a 'deep belief' network that this is basically a neural network but very large. Is this correct or does a deep belief network also imply ...
I tried to train a deep belief network to recognize digits from the MNIST dataset. Everything works OK, I can train even quite a large network. The problem is that the best DBN is worse than a simple ...
I am trying to beat the performance of an SVM classifier in a text classification task. Input is a bag of words model of sentences with 1 representing presence and 0 representing absence. Output is 1 ...
I was wondering if there's any good R libraries out there for deep learning neural networks? I know there's the nnet, ...