Material for the Deep Learning Course

• A quick overview of some of the material contained in the course is available from a ICML 2013 tutorial on Deep Learning:
  • Slides: PDF
  • video
• Q&A about deep learning (Spring 2013 course on large-scale ML)
  • Video (2013)
• 2014 International Conference on Learning Representations (ICLR 2014)
  • Youtube Video Playlist

* Videos of the lectures

* Intro to Deep Learning

• Slides: PDF | DjVu

* A1 posted: PDF Kaggle - due Feb. 09 at 7:45pm

* Introducing A1 and Torch
* Video
* Some additional reference material
Deep learning tutorial
A Tutorial on Energy-Based Learning
Gradient-Based Learning Applied to Document Recognition
If you find more good material, feel free to post it on Piazza!
* Piazza Link to resources from TA

* Video
* Intro to Deep Learning (same as for Week 1)

• Slides: PDF | DjVu

* Video
* A1 help session

* Video
* Slides: PDF
* A2 posted: PDF Kaggle - due March 09 at 7:45pm

* Video
* Introducing A2

* President's day, no class

* Video
* A2 readings discussion / help session

* Video
* Slides: PDF

* Video
* References: Efficient BackProb

* Video
* Slides: PDF

* Video

* Video
* A3 posted: PDF - due April 13 at 7:45pm
* A3 code: Baseline Skeleton

* Introducing A3

* Video
* Slides: PDF

* Video

* Video
* Slides

* Video

* Video
* Pdfs: Slides 1 Slides 2

* Video

* Video
* A4 posted: PDF - due April 27 at 7:45pm

* Slides PDF

* Video
* Introducing A4

* Video
* Slides

* Supplemental Slides

* Video

* Slides * Guest Slides

* Supplemental Slides

* Note: Three weeks until the final exam!

* Video
* Discussion of past finals

* Video
* [ Slides ]

* Video
* Returning A3/A4 and discussion of past finals

* Video
* Q&A with Prof. LeCun

* Final Exam May 18

2014 Final Prep
2014 Final
2015 Final