CSC321 Lecture 24
Using Boltzmann machines to initialize backpropagation
Some problems with backpropagation
A solution to all of these problems
Modelling the distribution of digit images
Results on permutation-invariant MNIST task
Why does greedy learning work?
A comparison of methods for compressing digit images to 30 real numbers.
A very deep autoencoder for synthetic curves that only have 6 degrees of freedom
An autoencoder for patches of real faces
Reconstructions of face patches from new people
64 of the hidden units in the first hidden layer
How to find documents that are similar to a query document
How to compress the count vector
The non-linearity used for reconstructing bags of words
Performance of the autoencoder at document retrieval