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0answers
40 views

Mathematically modeling neural networks as graphical models

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 ...
5
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2answers
256 views

What is the difference between a neural network and a deep belief network?

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 ...
3
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2answers
212 views

Deep belief network performs worse than a simple MLP

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 ...
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2answers
108 views

Can deep belief networks be applied to sparse feature vectors/classification problems?

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 ...
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1answer
1k views

R libraries for deep learning

I was wondering if there's any good R libraries out there for deep learning neural networks? I know there's the nnet, ...