AI, Machine Learning, Unsupervised Learning.
lower-dimensional spaces. Applications: Visualizing high-dimensional data and drug discovery. 3. Autoencoders Learn a compressed, lower-dimensional representation of the input data by encoding and decoding it through a neural network architecture. Autoencoders consist of an encoder that maps input