17 lines
950 B
Markdown
17 lines
950 B
Markdown
|
Deep Belief Nets
|
||
|
----------------
|
||
|
|
||
|
* ["A Fast Learning Algorithm for Deep Belief Nets"](http://www.cs.toronto.edu/~hinton/absps/ncfast.pdf) Geoffrey Hinton 2006 - Introduces contrastive divergence and DBNs
|
||
|
* ["A Practical Guide to Training Restricted Boltzmann Machines"](http://www.cs.toronto.edu/~hinton/absps/guideTR.pdf) Geoffrey Hinton 2010 - How to implement DBNs
|
||
|
|
||
|
Convolutional Neural Nets
|
||
|
-------------------------
|
||
|
|
||
|
* ["Handwritten Digit Recognition with a Back-Propagation Network"](http://yann.lecun.com/exdb/publis/pdf/lecun-90c.pdf) Yann LeCun 1990 - Introduces CNNs
|
||
|
* ["Notes on Convolutional Neural Networks"](http://cogprints.org/5869/1/cnn_tutorial.pdf) Jake Bouvrie 2006 - How to implement CNNs
|
||
|
|
||
|
Auto Encoders
|
||
|
-------------
|
||
|
|
||
|
* ["Extracting and Composing Robust Features with Denoising Autoencoders"](http://www.iro.umontreal.ca/~vincentp/Publications/vincent_icml_2008.pdf) Pascal Vincent 2008 - Introduces the Denoising Autoencoder
|