使用torch3图书馆深层结构

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. If you"re new to this page, be sure to check out the following wiki pag

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