Data Science, Machine Learning, Unsupervised Learning, Dimensionality Reduction, Cruio.
the local structure of the data. Autoencoders: Autoencoders are neural network architectures used for non-linear dimensionality reduction. They consist of an encoder and a decoder, and the hidden layer represents the compressed representation of the input data. Explained Variance: In PCA, the