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Deep Autoencoders

University of TorontoImage representation

The Deep Autoencoders model is a frontier image representation model from University of Toronto with 139808256.0 parameters.

About Deep Autoencoders

We show how to learn many layers of features on color images and we use these features to initialize deep autoencoders. We then use the autoencoders to map images to short binary codes. Using semantic hashing [6], 28-bit codes can be used to retrieve

Details

Provider
University of Toronto
Task
Image representation
Parameters
139808256.0
Released
2011-04-29
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