Name: Neural Networks Video Lectures - Hugo Larochelle
Creator: Hugo Larochelle
License: https://academictorrents.com/nolicensespecified

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2016-03-04 17:02:17

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neural_nets_larochelle

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92 files

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Path	Size
Neural networks [1.1] - Feedforward neural network - artificial neuron-SGZ6BttHMPw.mp4	58.87MB
Neural networks [1.2] - Feedforward neural network - activation function-tCHIkgWZLOQ.mp4	43.92MB
Neural networks [1.3] - Feedforward neural network - capacity of single neuron-iT5P4z6Fzj8.mp4	23.71MB
Neural networks [1.4] - Feedforward neural network - multilayer neural network-apPiZd-qnZ8.mp4	48.13MB
Neural networks [1.5] - Feedforward neural network - capacity of neural network-O4I7dQC4VtU.mp4	28.19MB
Neural networks [1.6] - Feedforward neural network - biological inspiration-cuJ4IC5_pGs.mp4	116.10MB
Neural networks [2.1] - Training neural networks - empirical risk minimization-5adNQvSlF50.mp4	68.82MB
Neural networks [2.2] - Training neural networks - loss function-PpFTODTztsU.mp4	29.90MB
Neural networks [2.3] - Training neural networks - output layer gradient-1N837i4s1T8.mp4	46.51MB
Neural networks [2.4] - Training neural networks - hidden layer gradient-xFhM_Kwqw48.mp4	104.17MB
Neural networks [2.5] - Training neural networks - activation function derivative-tf9p1xQbWNM.mp4	24.51MB
Neural networks [2.6] - Training neural networks - parameter gradient-p5tL2JqCRDo.mp4	32.73MB
Neural networks [2.7] - Training neural networks - backpropagation-_KoWTD8T45Q.mp4	96.36MB
Neural networks [2.8] - Training neural networks - regularization-JfkbyODyujw.mp4	82.17MB
Neural networks [2.9] - Training neural networks - parameter initialization-sLfogkzFNfc.mp4	50.95MB
Neural networks [2.10] - Training neural networks - model selection-Fs-raHUnF2M.mp4	69.13MB
Neural networks [2.11] - Training neural networks - optimization-Bver7Ttgb9M.mp4	125.69MB
Neural networks [3.1] - Conditional random fields - motivation-GF3iSJkgPbA.mp4	28.44MB
Neural networks [3.2] - Conditional random fields - linear chain CRF-PGBlyKtfB74.mp4	62.18MB
Neural networks [3.3] - Conditional random fields - context window-G4lnHc2M1CA.mp4	77.40MB
Neural networks [3.4] - Conditional random fields - computing the partition function-fGdXkVv1qNQ.mp4	142.98MB
Neural networks [3.5] - Conditional random fields - computing marginals-hjkwp-eDwt8.mp4	58.01MB
Neural networks [3.6] - Conditional random fields - performing classification-pQJvX9U-MyE.mp4	102.82MB
Neural networks [3.7] - Conditional random fields - factors, sufficient statistics and linear CRF-uXV2an9TdJY.mp4	73.27MB
Neural networks [3.8] - Conditional random fields - Markov network-ZYUnyyVgtyA.mp4	71.66MB
Neural networks [3.9] - Conditional random fields - factor graph-Q5GTCHVsHXY.mp4	42.89MB
Neural networks [3.10] - Conditional random fields - belief propagation--z5lKPHcumo.mp4	209.38MB
Neural networks [4.1] - Training CRFs - loss function-6dpGB60Q1Ts.mp4	35.50MB
Neural networks [4.2] - Training CRFs - unary log-factor gradient-fU2W7KRoS2U.mp4	75.03MB
Neural networks [4.3] - Training CRFs - pairwise log-factor gradient-1W2lkcGV2Zo.mp4	49.58MB
Neural networks [4.4] - Training CRFs - discriminative vs. generative learning-MD4mY3Zj5E4.mp4	56.66MB
Neural networks [4.5] - Training CRFs - maximum-entropy Markov model-aMi2xnYEwbc.mp4	74.48MB
Neural networks [4.6] - Training CRFs - hidden Markov model-jdlJfM707MM.mp4	36.46MB
Neural networks [4.7] - Training CRFs - general conditional random field-QY9k7tJistU.mp4	55.03MB
Neural networks [4.8] - Training CRFs - pseudolikelihood-ltRT1m7vaBU.mp4	43.70MB
Neural networks [5.1] - Restricted Boltzmann machine - definition-p4Vh_zMw-HQ.mp4	101.69MB
Neural networks [5.2] - Restricted Boltzmann machine - inference-lekCh_i32iE.mp4	76.83MB
Neural networks [5.3] - Restricted Boltzmann machine - free energy-e0Ts_7Y6hZU.mp4	64.90MB
Neural networks [5.4] - Restricted Boltzmann machine - contrastive divergence-MD8qXWucJBY.mp4	82.87MB
Neural networks [5.5] - Restricted Boltzmann machine - contrastive divergence (parameter update)-wMb7cads0go.mp4	65.20MB
Neural networks [5.6] - Restricted Boltzmann machine - persistent CD-S0kFFiHzR8M.mp4	44.50MB
Neural networks [5.7] - Restricted Boltzmann machine - example-n26NdEtma8U.mp4	53.53MB
Neural networks [5.8] - Restricted Boltzmann machine - extensions-iPuqoQih9xk.mp4	55.75MB
Neural networks [6.1] - Autoencoder - definition-FzS3tMl4Nsc.mp4	39.23MB
Neural networks [6.2] - Autoencoder - loss function-xTU79Zs4XKY.mp4	73.12MB
Neural networks [6.3] - Autoencoder - example-6DO_jVbDP3I.mp4	18.76MB
Neural networks [6.4] - Autoencoder - linear autoencoder-xq-I0Rl8mt0.mp4	166.49MB
Neural networks [6.5] - Autoencoder - undercomplete vs. overcomplete hidden layer-5rLgoM2Pkso.mp4	48.65MB
Neural networks [6.6] - Autoencoder - denoising autoencoder-t2NQ_c5BFOc.mp4	124.20MB
Neural networks [6.7] - Autoencoder - contractive autoencoder-79sYlJ8Cvlc.mp4	73.93MB
Neural networks [7.1] - Deep learning - motivation-vXMpKYRhpmI.mp4	100.49MB
Neural networks [7.2] - Deep learning - difficulty of training-YoiUlN_77LU.mp4	72.44MB
Neural networks [7.3] - Deep learning - unsupervised pre-training-Oq38pINmddk.mp4	86.50MB
Neural networks [7.4] - Deep learning - example-SXnG-lQ7RJo.mp4	85.69MB
Neural networks [7.5] - Deep learning - dropout-UcKPdAM8cnI.mp4	58.84MB
Neural networks [7.6] - Deep learning - deep autoencoder-z5ZYm_wJ37c.mp4	65.88MB
Neural networks [7.7] - Deep learning - deep belief network-vkb6AWYXZ5I.mp4	99.13MB
Neural networks [7.8] - Deep learning - variational bound-pStDscJh2Wo.mp4	89.04MB
Neural networks [7.9] - Deep learning - DBN pre-training-35MUlYCColk.mp4	140.26MB
Neural networks [8.1] - Sparse coding - definition-7a0_iEruGoM.mp4	68.77MB
Neural networks [8.2] - Sparse coding - inference (ISTA algorithm)-L6qhzWWtqQs.mp4	72.97MB
Neural networks [8.3] - Sparse coding - dictionary update with projected gradient descent-bhqNSjJ_A20.mp4	22.61MB
Neural networks [8.4] - Sparse coding - dictionary update with block-coordinate descent-UMdNfhgPKTc.mp4	82.37MB
Neural networks [8.5] - Sparse coding - dictionary learning algorithm-PzNMff7cYjM.mp4	47.52MB
Neural networks [8.6] - Sparse coding - online dictionary learning algorithm-IePxTepLvQc.mp4	77.36MB
Neural networks [8.7] - Sparse coding - ZCA preprocessing-eUiwhV1QcQ4.mp4	50.63MB
Neural networks [8.8] - Sparse coding - feature extraction-FL81zSjAEEg.mp4	68.91MB
Neural networks [8.9] - relationship with V1-MdomgSiL86Q.mp4	49.68MB
Neural networks [9.1] - Computer vision - motivation-rxKrCa4bg1I.mp4	46.77MB
Neural networks [9.2] - Computer vision - local connectivity-vLf3KVe2Z1k.mp4	30.80MB
Neural networks [9.3] - Computer vision - parameter sharing-aAT1t9p7ShM.mp4	82.76MB
Neural networks [9.4] - Computer vision - discrete convolution-Y7TMwqAWEdo.mp4	86.37MB
Neural networks [9.5] - Computer vision - pooling and subsampling-I-JKxcpbRT4.mp4	52.43MB
Neural networks [9.6] - Computer vision - convolutional network-cDdpwAIsuD8.mp4	116.76MB
Neural networks [9.7] - Computer vision - object recognition-eU83LSM3xnk.mp4	69.26MB
Neural networks [9.8] - Computer vision - example-Gk8VvSL3IMk.mp4	124.16MB
Neural networks [9.9] - Computer vision - data set expansion-Km1Q5VcSKAg.mp4	51.28MB
Neural networks [9.10] - Computer vision - convolutional RBM-y0SISi_T6s8.mp4	71.47MB
Neural networks [10.1] - Natural language processing - motivation-OzZIOiMVUyM.mp4	19.74MB
Neural networks [10.2] - Natural language processing - preprocessing-jcrhYEYwO9k.mp4	60.48MB
Neural networks [10.3] - Natural language processing - one-hot encoding-iZ3e_cifP7Y.mp4	51.95MB
Neural networks [10.4] - Natural language processing - word representations-PKszi8iogak.mp4	71.48MB
Neural networks [10.5] - Natural language processing - language modeling-iGmHnICXDss.mp4	57.46MB
Neural networks [10.6] - Natural language processing - neural network language model-FoDz01QNSiY.mp4	109.55MB
Neural networks [10.7] - Natural language processing - hierarchical output layer-B95LTf2rVWM.mp4	117.45MB
Neural networks [10.8] - Natural language processing - word tagging-pCLIo4Z-PsM.mp4	92.46MB
Neural networks [10.9] - Natural language processing - convolutional network-6jCDUQ-e-fY.mp4	108.85MB
Neural networks [10.10] - Natural language processing - multitask learning-ciNBQupWsAc.mp4	136.05MB
Neural networks [10.11] - Natural language processing - recursive network-AqEF2HIMjYA.mp4	49.86MB
Neural networks [10.12] - Natural language processing - merging representations-gPNPINa7PaM.mp4	31.31MB
Neural networks [10.13] - Natural language processing - tree inference-NJozqoejJnA.mp4	100.64MB
Neural networks [10.14] - Natural language processing - recursive network training-oRxgRHJztPI.mp4	87.35MB

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neural_nets_larochelle (92 files)

Neural networks [10.13] - Natural language processing - tree inference-NJozqoejJnA.mp4	100.64MB
Neural networks [10.14] - Natural language processing - recursive network training-oRxgRHJztPI.mp4	87.35MB
Neural networks [10.12] - Natural language processing - merging representations-gPNPINa7PaM.mp4	31.31MB
Neural networks [10.11] - Natural language processing - recursive network-AqEF2HIMjYA.mp4	49.86MB
Neural networks [10.10] - Natural language processing - multitask learning-ciNBQupWsAc.mp4	136.05MB
Neural networks [10.9] - Natural language processing - convolutional network-6jCDUQ-e-fY.mp4	108.85MB
Neural networks [10.8] - Natural language processing - word tagging-pCLIo4Z-PsM.mp4	92.46MB
Neural networks [10.7] - Natural language processing - hierarchical output layer-B95LTf2rVWM.mp4	117.45MB
Neural networks [10.6] - Natural language processing - neural network language model-FoDz01QNSiY.mp4	109.55MB
Neural networks [10.5] - Natural language processing - language modeling-iGmHnICXDss.mp4	57.46MB
Neural networks [10.4] - Natural language processing - word representations-PKszi8iogak.mp4	71.48MB
Neural networks [10.3] - Natural language processing - one-hot encoding-iZ3e_cifP7Y.mp4	51.95MB
Neural networks [10.2] - Natural language processing - preprocessing-jcrhYEYwO9k.mp4	60.48MB
Neural networks [10.1] - Natural language processing - motivation-OzZIOiMVUyM.mp4	19.74MB
Neural networks [9.10] - Computer vision - convolutional RBM-y0SISi_T6s8.mp4	71.47MB
Neural networks [9.9] - Computer vision - data set expansion-Km1Q5VcSKAg.mp4	51.28MB
Neural networks [9.8] - Computer vision - example-Gk8VvSL3IMk.mp4	124.16MB
Neural networks [9.7] - Computer vision - object recognition-eU83LSM3xnk.mp4	69.26MB
Neural networks [9.6] - Computer vision - convolutional network-cDdpwAIsuD8.mp4	116.76MB
Neural networks [9.5] - Computer vision - pooling and subsampling-I-JKxcpbRT4.mp4	52.43MB
Neural networks [9.4] - Computer vision - discrete convolution-Y7TMwqAWEdo.mp4	86.37MB
Neural networks [9.3] - Computer vision - parameter sharing-aAT1t9p7ShM.mp4	82.76MB
Neural networks [9.2] - Computer vision - local connectivity-vLf3KVe2Z1k.mp4	30.80MB
Neural networks [9.1] - Computer vision - motivation-rxKrCa4bg1I.mp4	46.77MB
Neural networks [8.9] - relationship with V1-MdomgSiL86Q.mp4	49.68MB
Neural networks [8.8] - Sparse coding - feature extraction-FL81zSjAEEg.mp4	68.91MB
Neural networks [8.7] - Sparse coding - ZCA preprocessing-eUiwhV1QcQ4.mp4	50.63MB
Neural networks [8.6] - Sparse coding - online dictionary learning algorithm-IePxTepLvQc.mp4	77.36MB
Neural networks [8.5] - Sparse coding - dictionary learning algorithm-PzNMff7cYjM.mp4	47.52MB
Neural networks [8.4] - Sparse coding - dictionary update with block-coordinate descent-UMdNfhgPKTc.mp4	82.37MB
Neural networks [8.3] - Sparse coding - dictionary update with projected gradient descent-bhqNSjJ_A20.mp4	22.61MB
Neural networks [8.2] - Sparse coding - inference (ISTA algorithm)-L6qhzWWtqQs.mp4	72.97MB
Neural networks [8.1] - Sparse coding - definition-7a0_iEruGoM.mp4	68.77MB
Neural networks [7.9] - Deep learning - DBN pre-training-35MUlYCColk.mp4	140.26MB
Neural networks [7.8] - Deep learning - variational bound-pStDscJh2Wo.mp4	89.04MB
Neural networks [7.7] - Deep learning - deep belief network-vkb6AWYXZ5I.mp4	99.13MB
Neural networks [7.6] - Deep learning - deep autoencoder-z5ZYm_wJ37c.mp4	65.88MB
Neural networks [7.5] - Deep learning - dropout-UcKPdAM8cnI.mp4	58.84MB
Neural networks [7.4] - Deep learning - example-SXnG-lQ7RJo.mp4	85.69MB
Neural networks [7.3] - Deep learning - unsupervised pre-training-Oq38pINmddk.mp4	86.50MB
Neural networks [7.2] - Deep learning - difficulty of training-YoiUlN_77LU.mp4	72.44MB
Neural networks [7.1] - Deep learning - motivation-vXMpKYRhpmI.mp4	100.49MB
Neural networks [6.7] - Autoencoder - contractive autoencoder-79sYlJ8Cvlc.mp4	73.93MB
Neural networks [6.5] - Autoencoder - undercomplete vs. overcomplete hidden layer-5rLgoM2Pkso.mp4	48.65MB
Neural networks [6.6] - Autoencoder - denoising autoencoder-t2NQ_c5BFOc.mp4	124.20MB
Neural networks [6.4] - Autoencoder - linear autoencoder-xq-I0Rl8mt0.mp4	166.49MB
Neural networks [6.3] - Autoencoder - example-6DO_jVbDP3I.mp4	18.76MB
Neural networks [6.2] - Autoencoder - loss function-xTU79Zs4XKY.mp4	73.12MB
Neural networks [6.1] - Autoencoder - definition-FzS3tMl4Nsc.mp4	39.23MB
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Type: Course
Tags:

Bibtex:

@article{,
title= {Neural Networks Video Lectures - Hugo Larochelle},
journal= {},
author= {Hugo Larochelle},
year= {},
url= {http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html},
abstract= {Here is the list of topics covered in the course, segmented over 10 weeks. Each week is associated with explanatory video clips and recommended readings.

0. Introduction and math revision
1. Feedforward neural network
2. Training neural networks
3. Conditional random fields 
4. Training CRFs
5. Restricted Boltzmann machine
6. Autoencoders
7. Deep learning
8. Sparse coding
9. Computer vision
10. Natural language processing


},
keywords= {},
terms= {}
}

Neural Networks Video Lectures - Hugo Larochelle Hugo Larochelle

Neural Networks Video Lectures - Hugo Larochelle
Hugo Larochelle