Machine Learning, Dimensionality Reduction, Feature Selection, Curse Of Dimensionality, Feature Engineering.
reconstructs 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. In subsequent posts, let us look more deeply into linear and non-linear