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

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
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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= {}
}

Neural Networks Video Lectures - Hugo Larochelle Hugo Larochelle

Neural Networks Video Lectures - Hugo Larochelle
Hugo Larochelle