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Results tagged with neural-networks
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user 13516
Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
0
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Roadmap to Boltzmann Machines
Reading up books on neuron models is a good start, but it may not be the best way to start your journey to be an expert in probability and statistics. Some of the concepts in that area may leave you c …
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4
votes
2
answers
3k
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R Deep Learning with H2O vs neuralnet package [closed]
I had a fairly open ended question. I've been looking at deep learning architectures for neural networks for classification in R. A few packages came up, neuralnet, H2O and nnet I've worked with all o …
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1
vote
Linear post-treatment of nonlinear regression
A lot would depend on the data set itself. From your graph it appears that the RF(or NN) is missing on training some information. In such cases, you must almost definitely do what you are proposing. Y …
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13
votes
3
answers
7k
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Restricted Boltzmann Machines for regression?
I'm following up on the question I'd asked earlier on RBMs. I see a lot of literature describing them but none that actually talks of regression (not even classification with labelled data). I get a f …
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25
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2
answers
11k
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Restricted Boltzmann machines vs multilayer neural networks
I've been wanting to experiment with a neural network for a classification problem that I'm facing. I ran into papers that talk of RBMs. But from what I can understand, they are no different from havi …
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