Info hash | e046bca3bc837053d1609ef33d623ee5c5af7300 |
Last mirror activity | 0:28 ago |
Size | 6.60GB (6,600,745,142 bytes) |
Added | 2016-03-04 17:02:17 |
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ID | 3151 |
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Folder | neural_nets_larochelle |
Num files | 92 files [See full list] |
Mirrors | 15 complete, 0 downloading = 15 mirror(s) total [Log in to see full list] |

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Type: Course
Tags:
Bibtex:
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= {} }