Questions Tagged With deep-learning

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Training for Convolutional Neural Network

Jan 30 '14 at 11:26 Dan Ryan406 (asked by Dzung Nguyen26 )

deep-learning

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643

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

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

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Deep CRBM - How to generate data?

Jan 19 '14 at 14:07 Max B1

deep-learning rbm conditional-rbm

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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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Sparse Autoencoder with dropout technique? tutorial code?

Jan 03 '14 at 17:20 Andrew Plassard1 (asked by Edwin1 )

deep-learning dropout autoencoder sparse

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594

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Time Series Structure Similarity

Jan 03 '14 at 05:32 Laurens van der Maaten1006 (asked by _Dave1 )

time-series dimensionality-reduction deep-learning similarity

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842

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How to efficiently classify using Discriminative RBM among large amount of classes?

Dec 19 '13 at 02:27 Grigory Sapunov1

deep-learning drbm rbm

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756

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Can deep autoencoders be used for classifying highly biased datasets?

Dec 18 '13 at 20:22 Sarerf1

deep-learning rbm autoencoder classification

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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

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Convolutional Deep Belief Networks

Dec 02 '13 at 09:27 chinaali1 (asked by Yu Chong31 )

deep-learning audio dbn

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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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How does one reverse the max-pooling step for a convolutional auto-encoder ?

Nov 20 '13 at 10:04 Dan Ryan406 (asked by Ankit Bhutani31 )

deep-learning theano autoencoder convolution

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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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334

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want to convert normal distribution data into 4 equal parts

Oct 31 '13 at 01:21 subha1

deep-learning

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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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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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Phone recognition with Stacked Autoencoder

Oct 07 '13 at 23:11 gdahl ♦3414 (asked by Saul Berardo66 )

deep-learning autoencoder speech-recognition

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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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651

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Get seprate learned features of each image in Sparse Autoencoder UFLDL exercise?

Sep 11 '13 at 14:08 Nouman1

deep-learning feature-learning

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RBMs weights during learning uniform distribution

Aug 31 '13 at 11:26 Midas421

deep-learning bernoulli rbm contrastive-divergence

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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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784

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Deep learning for clustering

Aug 26 '13 at 17:33 Azim1

deep-learning

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Ensemble methods vs Deep learning

Aug 21 '13 at 09:07 Arun Kumar286

deep-learning deep-belief-networks boosting

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427

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Existing Convolutional network

Aug 15 '13 at 21:00 Arun Kumar286

deep-learning convolutional

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963

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Selective and sparse restricted Boltzmann machine

Aug 08 '13 at 06:35 Midas421

sparse feature-learning deep-learning rbm sparse-coding boltzmann-machines

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Penalizing non-orthogonal weights in an autoencoder

Jul 22 '13 at 02:33 Phox36

pretraining autoencoder deep-learning image-processing weights neural-networks

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Best approach for sparse coding using a DBN

Jul 15 '13 at 17:35 Rolf van Dam36

deep-learning rbm deep-belief-networks sparse-coding hinton krizhevsky

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Help me debug - backpropagation in non fully connected networks.

Jul 14 '13 at 12:28 Bartosz Witkowski6

debug deep-learning backpropagation convolution

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DeepLearningTutorials: Using the stacked autoencoder results in almost identical semantic hashes

Jul 08 '13 at 11:54 Rolf van Dam36

deep-learning theano autoencoder

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DeepLearningTutorials: How to integrate color information?

Jul 08 '13 at 11:17 Rolf van Dam36

color deep-learning rgb neural-networks

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best cuda machine learning library

Jul 05 '13 at 12:59 edersantana155 (asked by Arun Kumar286 )

deep-learning cuda machine-learning

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378

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Are trained deep nets available

Jul 02 '13 at 06:05 Arun Kumar286

deep-learning

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DeepLearningTutorials: Convolutional MLP: How to use a trained network to do a classification

Jun 21 '13 at 18:28 Rolf van Dam36

deep-learning theano neural-networks convolutional

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Using momentum and weight decay for training stacked denoising autoencoders

Jun 11 '13 at 19:00 LeeZamparo56

deep-learning regularization optimization autoencoder

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Auto Encoder to get small representation of big images with very little information

Jun 11 '13 at 12:28 SeanV336 (asked by Max Schumacher1 )

deep-learning representation autoencoder

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How to efficiently learn a RBM/auto-encoder on extremely sparse data?

Jun 05 '13 at 23:32 x10001year116

deep-learning sparse

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Autoencoders - classification accuracy on engineered features.

May 31 '13 at 13:02 Andreas Mueller2686 (asked by Bartosz Witkowski6 )

deep-learning mnist autoencoder feature-learning classification

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How is divisive normalization a "poor man's whitening"?

May 15 '13 at 21:18 Alexandre Passos ♦25541 (asked by Max476 )

deep-learning computer-vision pca neural-networks

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How to visualize high-level features in convolutional deep networks with pooling?

May 01 '13 at 18:20 Andrew Maas161 (asked by Rakesh Chalasani264 )

deep-learning visualization receptive-feilds

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15848

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What exactly is whitening?

Apr 30 '13 at 04:16 Marius van Zyl1 (asked by Jacob Jensen1914 )

deep-learning features

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671

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Second order optimization: Taylor functions on matrices

Apr 05 '13 at 04:49 Philemon Brakel2445 (asked by Malcolm Gooding29 )

deep-learning second-order

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643

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Deep Learning

Mar 23 '13 at 00:54 Harry1

deep-learning

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Value of deep -vs- shallow NNs

Mar 18 '13 at 16:46 Dan Ryan406 (asked by Brian Vandenberg824 )

deep-learning

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Implementing GB-RBMs in Matlab

Mar 10 '13 at 08:11 osdf670 (asked by Niharjyoti Sarangi1 )

deep-learning rbm deep-belief-networks matlab gaussian

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836

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Restricted Boltzmann Machine for vector sequences

Feb 10 '13 at 11:16 lesh1

deep-learning rbm topic-models

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Extracting Deep RBM Network feature detectors

Jan 24 '13 at 20:15 Rakesh Chalasani264 (asked by rm9586 )

deep-learning rbm deep-belief-networks

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887

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Local tangent space for Contractive Autoencoders and class identity

Jan 09 '13 at 12:04 cdrn15

deep-learning representation autoencoder

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