资 源 简 介
This is an extension of the Torch3 Machine Learning library for handling various types of Deep Architectures and modifications to the standard Multi-layer Perceptrons:
Handles an arbitrary number of fully-connected sigmoidal layers
Unsupervised learning of MLPs using various reconstruction costs. Greedy layer-wise learning is available as well.
An implementation of the Stacked Denoising Autoencoders
A preliminary implementation of collective learning idea, whereby a pair of networks are trained in parallel and are communicating with each other.
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