Questions Tagged With neural-networks

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When is a second hidden layer needed in feed forward neural networks?

May 23 '14 at 11:21 Craig H1

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788

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Explanation of the Regression Plot in the Matlab Neural Network Toolbox

May 22 '14 at 13:14 Craig H1

multivariate neural-networks matlab regression

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682

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What is a proper Learning Technique for the given data sample

May 22 '14 at 02:12 Daniel Mahler1226 (asked by nishantsny1 )

time-series fuzzy supervised-learning neural-networks machine-learning

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Dropout nets: Why scaling weights after pretraining?

May 13 '14 at 06:35 elarosca1 (asked by gerard76 )

scaling neural-networks dropout weights

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recursive autoencoders

May 12 '14 at 15:36 Shawn Tan1 (asked by nop241 )

auto backpropagation neural-networks recursive encoder

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Drednet Hyperparameter Guidelines?

May 12 '14 at 04:04 Albert Zeyer71 (asked by Newmu296 )

nerual dropout rectified-linear-units neural-networks drednet

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Maxout Neural Network Activation Function Error Derivative?

May 11 '14 at 12:41 twerdster1 (asked by Newmu296 )

maxout mathematics dropout neural-networks derivation

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370

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teach NN to learn equality-function

May 09 '14 at 06:11 Albert Zeyer71

neural-networks

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521

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Connectivity between subsequent feature maps in CNNs

May 08 '14 at 19:35 Sander Dieleman1556 (asked by Leon Schreon6 )

feature-maps neural-networks convolution

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972

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L1 cost function for Neural Network. (Regression)

May 08 '14 at 11:54 Sergey Ten16 (asked by keithzhou31 )

deep-learning neural-networks regression machine-learning

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510

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Activation function that depends on whole layer?

Apr 15 '14 at 16:55 Dan Ryan406 (asked by Max Br1 )

activation neural-networks rbm

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762

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How exactly should one optimize neural words' embedding (Colbert & Weston, 2008) vectors?

Apr 15 '14 at 08:04 Ben Usman6

neural-networks optimization embeddings

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922

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Neural network learning fast, getting false positives

Apr 14 '14 at 06:49 jaba1

backpropagation neural-networks machine-learning

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Max pooling video frames in CNN

Mar 26 '14 at 06:03 jolix26

cnn theano max-pooling neural-networks convolution

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Dropout in convolutional layer?

Mar 13 '14 at 12:26 Johannes Amten6

neural-networks

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932

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Training cost suddenly explodes

Mar 10 '14 at 15:02 jolix26

convolution-neural-networks neural-networks machine-learning

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Post-synaptic activation in the fast dropout network

Mar 03 '14 at 20:15 sidaw56 (asked by Midas421 )

dropout neural-networks activation regularization

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487

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Benefits of adaptive learning rate

Feb 26 '14 at 08:48 Srikanth Cherla1

learning-rate backpropagation neural-networks

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Role of Sparsity Penalty in training Stacked Autoencoders

Feb 17 '14 at 22:20 Sharath Chandra311

autoencoder dbn image sparsity rbm parameter-settings neural-networks

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898

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Convolutional Neural Networks and OCR

Feb 16 '14 at 11:49 John King1

convolution-neural-networks ocr neural-networks convolution

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Deep learning with hand-engineered features

Feb 08 '14 at 19:07 Sander Dieleman1556 (asked by Jeremiah M6 )

deep-learning neural-networks deep-belief-networks feature-extraction

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351

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neural network optimization?

Feb 05 '14 at 10:35 gerard76 (asked by isha0 )

neural-networks

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644

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learning rate adjustments : short-term vs long-term benefits

Jan 28 '14 at 14:29 eder216 (asked by Max476 )

learning-rate deep-learning optimization neural-networks stochastic-gradient

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624

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Neural Networks and Machine Learning

Jan 28 '14 at 10:52 bogatron471 (asked by gerard76 )

neural-networks theory machine-learning

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750

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Stochastic Gradient vs. Batch

Jan 28 '14 at 09:38 eder216 (asked by Yaroslav Bulatov216 )

neural-networks

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562

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How to vary convolutional neural network parameters depending on various applications?

Jan 23 '14 at 21:24 rogerthat1

cnn max-pooling neural-networks convolution

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Relation between "filter" and "feature map" in convolutional neural networks

Jan 22 '14 at 08:46 Sander Dieleman1556 (asked by aaron6 )

convolution-neural-networks neural-networks terminology

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502

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non-linear NCA ovefits even with the regularizers ,, what can I try?

Jan 21 '14 at 11:39 Sander Dieleman1556 (asked by Dannnnn1 )

overfitting neural-networks generalization

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Dropout: how to scale up weights after pretraining when the related 2 layers has different dropout probability?

Jan 08 '14 at 14:08 Richard Pospesel1 (asked by Nian Liu31 )

deep-learning weights dropout scaling neural-networks

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Mini-batches too big for memory (Theano)

Dec 12 '13 at 14:07 Albert Zeyer71 (asked by jolix26 )

convolutional classification deep-learning minibatch neural-networks machine-learning memory theano sgd

186questions tagged neural-networks

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