Neural Networks Video Lectures - Hugo Larochelle
Hugo Larochelle

neural_nets_larochelle (92 files)
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
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Type: Course
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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= {}
}

10 day statistics (2 downloads)

Average Time 4 hrs, 58 mins, 08 secs
Average Speed 368.99kB/s
Best Time 4 hrs, 58 mins, 07 secs
Best Speed 369.02kB/s
Worst Time 4 hrs, 58 mins, 10 secs
Worst Speed 368.96kB/s