| April 2nd |
Exam |
|
| March 29th |
Review session |
|
| March 26th |
Convolutional networks |
Neocognitron article.
LeNet article.
Convolutional networks tutorial.
|
| March 22nd |
Gradient propagation
DAE vs AE
|
final part of Yoshua Bengio’s presentation.
Denoising autoencoders vs. ordinary autoencoders.
|
| March 19th |
Challenges for deep networks |
The challenges of training deep neural networks. |
| March 15th |
Pre-training |
Yoshua Bengio’s presentation.
Dumitru Erhan presentation.
|
| March 12th |
Contracting AE and MTC |
Articles on Contracting Auto-Encoders
and on Manifold Tangent Classifier |
| March 1st |
Contracting AE, |
Article on Contracting Auto-Encoders |
| February 27th |
DBMs |
The Boltzmann Machine. |
| February 20th+23rd |
DBNs |
Stacked RBMs and DBNs. |
| February 13rd+16th |
RBMs |
Restricted Boltzmann Machines. |
| February 6th+9th |
Probabilistic models |
Probabilistic models Probabilistic models for deep architectures. |
| February 2nd |
Probabilistic models
Launching jobs
|
Introduction to Probabilistic models for deep architectures.
Jobman.
|
| January 30th |
Probabilistic models |
Introduction to Probabilistic models for deep architectures. |
| January 26th |
Auto-encoders,
DAE |
Section 4.6 de Learning Deep Architectures for AI.
Denoising Auto-Encoders |
| January 23rd |
python, numpy, Theano
Logistical regression
|
Documentation on python,
numpy, et Theano.
Logistic regression tutorial.
Notes on training MLPs. |
| January 19th |
Neural networks |
Efficient Backprop.
Introduction to the Deep Learning Tutorials.
The Getting Started tutorial. |
| January 16th |
Computing gradients |
Notes on computing gradients. |
| January 12th |
Introduction to deep networks |
Introduction to deep networks,
Sec. 1 of Learning Deep Architectures for AI.
Notes on gradient based learning. |
| January 9th |
Introduction to deep networks |
Introduction to deep networks,
Sec. 1 of Learning Deep Architectures for AI. |
| January 5th |
Introtuction to this class
Introduction to Machine Learning
|
course outline .
slides .
Introduction to Machine Learning,
Sec. 1 and 2 of Scaling Learning Algorithms towards AI.
|