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/Autoencoders as Neural Network Version of PCA
Autoencoders as Neural Network Version of PCA
Exploring autoencoders as a neural network version of PCA for dimension reduction and feature representation.
Background
An autoencoder is a reconstruction model. It attempts to reconstruct its inputs from itself as depicted below:
An autoencoder is made of two modules: encoder and decoder.
As their names indicate, an encoder encodes input ...