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Auto-Encoders (AE) {Dimensionality Reduction}

Description

Another popular dimensionality reduction method that gives spectacular results is auto-encoders, a type of artificial neural network that aims to copy their inputs to their outputs. They compress the input into a latent-space representation and then reconstruct the output from this representation.

An autoencoder is composed of two parts:

  • Encoder: compresses the input into a latent-space representation.
  • Decoder: reconstruct the input from the latent space representation.