Questions Tagged With neural-networks

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Rectifiers in Multiplicative Networks

Nov 30 '13 at 17:36 ozan31

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Problems with DBN for audio data

Nov 28 '13 at 13:21 khaled galaind1 (asked by Siddharth Sigtia101 )

deep-learning python neural-networks dbn

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Making feature vector from Gabor filters for classification

Nov 14 '13 at 01:26 adil1

machine-learning classification image-processing neural-networks matlab feature-extraction feature-selection

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Maxout Network Activation Function

Nov 12 '13 at 19:25 Alexandre Passos ♦25541 (asked by Masala6 )

maxout dropout neural-networks activation

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662

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Self Organizing map with spectral clusterig

Nov 07 '13 at 03:13 Azim1

optimization neural-networks machine-learning artificial-intelligence

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527

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About Datasets

Nov 05 '13 at 12:18 zaxtax ♦1051 (asked by John111 )

neural-networks machine-learning artificial-intelligence

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428

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Learn a better representation based on some task

Nov 03 '13 at 22:06 Arun Kumar286

supervised-learning neural-networks classification

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For what problems are rectified linear units better than tanh? Why are they better?

Nov 01 '13 at 18:08 Sander Dieleman1556 (asked by Max476 )

deep-learning rectified-linear-units neural-networks

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Why isn't DropOut used in Unsupervised Learning?

Oct 31 '13 at 04:43 alfa86 (asked by Max476 )

deep-learning dropout neural-networks regularization unsupervised-learning

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Better Mini-Batch Algorithms via Accelerated Gradient Descent

Oct 28 '13 at 09:54 Rakesh Chalasani264 (asked by Max476 )

paper-understanding gradient-descent stochastic-gradient optimization neural-networks learning algorithms sgd

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585

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Early Stopping with penalty terms

Oct 27 '13 at 20:35 Ben Gimpert61 (asked by Dan Ryan406 )

early-stopping regularization neural-networks

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920

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Is a traditional Multi Layer Perceptron Network capable of non-linear regression? Which activation function should be used for that purpose?

Oct 27 '13 at 16:19 Justin Bayer1706 (asked by stablum1 )

multilayer-perceptron nonlinear neural-networks regression machine-learning

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599

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Visualizing Learned Color Image Features

Oct 26 '13 at 16:23 Newmu296

visualization features color neural-networks learning weights

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Momentum/NAG and local minima

Oct 18 '13 at 10:49 Tim Dettmers6

optimization neural-networks gradient-descent mnist

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907

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training neural network using k-fold cross validation

Oct 17 '13 at 00:39 Ng0323156

neural-networks crossvalidation

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Feature extraction using deep convolution

Oct 16 '13 at 02:06 Ng0323156 (asked by Inc71 )

convolution feature-learning. image deep-learning neural-networks machine-learning convolution-neural-networks

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440

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how to force a network to learn more from one of the classes?

Oct 14 '13 at 18:36 Saul Berardo66 (asked by rm9586 )

neural-networks

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Why would a "KL divergence" term enforce sparsity in autoencoders?

Oct 14 '13 at 17:35 Saul Berardo66 (asked by Max476 )

autoencoder deep-learning kl-divergence neural-networks sparse unsupervised-learning

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Online Truncated Backpropagation Through Time efficiency

Sep 21 '13 at 14:14 Max476

backpropagation neural-networks rnn recurrent-neural-networks

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Dropout: Input to output layer? How about Pre-training

Sep 16 '13 at 15:25 gdahl ♦3414 (asked by gerard76 )

pretraining autoencoder dropout regularization generalization deep-learning neural-networks

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Neural Network fails. How to debug?

Sep 15 '13 at 12:09 rm9586

deep-learning neural-networks

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954

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Feedforwardnet for XOR

Sep 13 '13 at 06:26 Piotr Walaszek1

neural-networks xor nntool matlab logsig

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597

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Difficulty Training NN On Very Sparse Inputs And Outputs

Sep 11 '13 at 16:03 Newmu296

training neural-networks learning sparse

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Unsupervised learning in neural network

Sep 05 '13 at 02:17 Anatoly Belikov16 (asked by Kuri_kuri293 )

neural-networks machine-learning unsupervised-learning

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Image segmentation with deep methods and Theano

Aug 30 '13 at 18:09 Ankit Bhutani31 (asked by Dirk Gorissen16 )

segmentation neural-networks deep-learning image-processing deep-belief-networks theano image-segmentation

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881

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Is there any modern neural network / deep learning application where the optimization goal is to find a set of orthogonal vectors?

Aug 29 '13 at 17:25 SeanV336 (asked by ualex161 )

deep-learning optimization neural-networks matrix

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812

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Training subset of weights in neural networks.

Aug 23 '13 at 10:26 phoxis31

training neural-networks

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463

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Should weights of a neural network without hidden layer match the parameters of a logistic regression?

Aug 20 '13 at 09:43 Leon Palafox ♦4085 (asked by Ziki1 )

neural-networks

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418

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Overfitting on one classs

Aug 09 '13 at 14:23 David Marx41 (asked by rm9586 )

overfitting neural-networks

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Recurrent Neural Nets reading list

Aug 06 '13 at 07:52 Philemon Brakel2445 (asked by Ira Korshunova131 )

neural-networks rnn recurrent-neural-networks

186questions tagged neural-networks

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