Data Dreamland, Subash Palvel, Data Science, Dimensionality Reduction, Machine Learning.
used for unsupervised dimensionality reduction. They consist of an encoder network that maps the input data to a lower-dimensional representation and a decoder network that reconstructs the original data from this representation. By training the autoencoder to minimize the reconstruction error, the