This document provides links to 3 articles about sparse autoencoders, a type of neural network that learns efficient data encodings by setting most of the activations in the hidden layer to 0. The first article from 2014 provides a tutorial on sparse autoencoders. The second article also from 2014 discusses deep learning with sparse autoencoders. The third article is from the same year and presents k-sparse autoencoders, which learn representations where exactly k hidden units are active.

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Deep Learning Tutorial - Sparse
Autoencoder
By Chris McCormick (2014)
Link:
http://mccormickml.com/2014/05/30/deep-learning-tutorial-sparse-
autoencoder/
Additional Reading:

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Deep Learning: Sparse Autoencoders
By Eric Wilkinson (2014)
Link:
http://www.ericlwilkinson.com/blog/2014/11/19/deep-learning-sparse-
autoencoders
Additional Reading:

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k-Sparse Autoencoders
By Alireza Makhzani et al. (2014)
Link:
https://arxiv.org/pdf/1312.5663.pdf
Additional Reading: