rm9
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PhD student |
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19 Questions
0
votes
4
answers
1k
views
convolutional network code
0
votes
1
answers
440
views
how to force a network to learn more from one of the classes?
0
votes
0
answers
418
views
Overfitting on one classs
5
votes
3
answers
3k
views
Deep neural network with unbalanced classes
0
votes
1
answers
2k
views
Using Visible Rectified Linear Units with RBM
0
votes
1
answers
1k
views
Using Deep Belief Network to model a joint probability
0
votes
1
answers
1k
views
Extracting Deep RBM Network feature detectors
1
votes
1
answers
1k
views
Question regarding DBN code on MNIST
1
votes
1
answers
919
views
Parallelizing contrastive divergence and back propagation
0
votes
3
answers
3k
views
C/C++ Restricted Boltzmann Machine
1
votes
4
answers
1k
views
extracting variable-length time series features
2
votes
0
answers
1k
views
Conditional Restricted Boltzmann Machine - what does it learn?
2
votes
2
answers
3k
views
RBM with Gaussian visible units and normalization
1
votes
1
answers
1k
views
RBM weights and input normalization
5 Answers
32 Votes
32
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0
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38 Tags
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rbm
× 41 dbn × 12 neural-networks × 8 priors × 8 nn × 8 softmax × 5 time-series × 5 convolutional × 4 cnn × 4 crbm × 4 |
feature-extraction
× 4 boltzmann-machines × 4 machine-learning × 3 mathematics × 3 deep-learning × 3 code × 3 expectation-maximization × 3 em × 3 deep-belief-networks × 2 matlab × 2 |
normalizatoin
× 2 backpropagation × 1 unsupervised-learning × 1 rectified-linear-units × 1 industry × 1 hmm × 1 parallelism × 1 feature-selection × 1 features × 1 dnn × 1 |
classification
× 1 hidden-markov-models × 1 greedy × 1 overfitting × 1 rnn × 1 academics × 1 logistic-regression × 1 multi-class × 1 |
17 Kudos
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● Prominent Question × 20 ● Conspicuous Question × 19 ● Well-Known Question × 19 ● Prized Question × 16 ● Appreciated Question × 4 ● Appreciated Answer × 2 |
● Pronouncement × 1 ● Commentator × 1 ● Esteemed Question × 1 ● Participant × 1 ● Adulated Answer × 1 ● Revisionist × 1 |
● Blue Pencil × 1 ● Esteemed Answer × 1 ● Inquisitive × 1 ● Cherished Question × 1 ● Guide × 1 |