PCA vs Autoencoders

Ori Cohen
Towards Data Science
5 min readApr 23, 2018

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Behind Shinjuku Station, Tokyo.

In this tutorial I will explain about the relation between PCA and an Autoencoder (AE). I assume that you have a basic grasp of what PCA and AE are, but if you are not familiar PCA or autoencoders please read [1,2].

A lot have been written about using a linearly activated autoencoder (AE) to approximate principal component analysis (PCA). From a math point of view, minimizing the reconstruction error in PCA is the same as AE…

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