CILVR Lab @ NYU
http://cilvr.nyu.edu/
2017-05-29T09:09:11-04:00CILVR Lab @ NYU
http://cilvr.nyu.edu/
http://cilvr.nyu.edu/lib/tpl/drupal-garland-nyu/images/favicon.icotext/html2017-05-10T17:32:28-04:00jakedeeplearning2017:final
http://cilvr.nyu.edu/doku.php?id=deeplearning2017:final&rev=1494451948&do=diff
Paper list (recommend to read)
GradientBased Learning Applied to Document Recognition (just the first part of this paper)
Efficient Backprop
A Tutorial on Energy-Based Learning
LISTA \\
GAN text/html2017-05-08T17:55:31-04:00jakecourses:deeplearning2017:start
http://cilvr.nyu.edu/doku.php?id=courses:deeplearning2017:start&rev=1494280531&do=diff
Deep Learning, Spring 2017
DS-GA-1008
Syllabus (aka required reading)
Lecture: Monday 4:55pm – 6:35pm, in 60FA 150
Tutorial: Tuesday 8:35pm – 9:25pm in 60FA 150
Classroom address: the former Forbes building, 60 5th, NY
Instructor: Yann LeCun - yann [ at ] cs.nyu.edutext/html2017-05-08T16:02:31-04:00yanndeeplearning2017:schedule - [Week 9]
http://cilvr.nyu.edu/doku.php?id=deeplearning2017:schedule&rev=1494273751&do=diff
Week 1
2016-01-23 Lecture
* Intro to Deep Learning
* Slides: [PDF]
Week 2
2016-01-30 Lecture
* Back-propagation
* Slides: [PDF]
Week 3
2016-02-06 Lecture
* Convolutional Nets
* Slides: [PDF]
* A1: [PDF]
Week 4
2017-02-13 Lecture
* Convolutional Nets, Part 2text/html2017-04-11T19:36:34-04:00jakedeeplearning2017:homework
http://cilvr.nyu.edu/doku.php?id=deeplearning2017:homework&rev=1491953794&do=diff
A1
Practice on Backpropogation
Optimization and Initialization exploration
Semi-supervised learning on MNIST with 3,000 labels
* pdf: [PDF]
A2
Practice on ConvNets, t-SNE and batch normalization
Sentence classification with ConvNets, Recurrent Nets and fastText