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Catalog / amolgm / UFLDL_SelfTaughtLearning
Public GitHub Catalog Discovered Sep 27, 2026

amolgm / UFLDL_SelfTaughtLearning

In Self-taught learning and Unsupervised feature learning, we will give our algorithms a large amount of unlabeled data with which to learn a good feature representation of the input.

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amolgm/UFLDL_LinearDecoders

An autoencoder with a sigmoid (or tanh) hidden layer and a linear output layer is Linear Decoders. If one uses PCA whitening, the input is no longer constrained to [0,1], then you go for Linear Decoders

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amolgm/UFLDL_StackedAE

A stacked autoencoder is a neural network consisting of multiple layers of sparse autoencoders in which the outputs of each layer is wired to the inputs of the successive layer.

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