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Sparse Autoencoders using FashionMNIST dataset

Project README

Sparse Autoencoders

Sparsity constraint is imposed here by using a KL-Divergence penalty. See this for a detailed explanation of sparse autoencoders.

The FashionMNIST dataset was used for this implementation. Figures shown below are obtained after 1 epoch:

Using sparsity penalty:

sparse

Normal autoencoder

no_sparse

Open Source Agenda is not affiliated with "Sparse Autoencoders" Project. README Source: Abhipanda4/Sparse-Autoencoders
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