Scala Machine Learning Projects

Autoencoders and unsupervised learning

Autoencoders are artificial neural networks capable of learning efficient representations of the input data without any supervision (that is, the training set is unlabeled). This coding, typically, has a much lower dimensionality than the input data, making autoencoders useful for dimensionality reduction. More importantly, autoencoders act as powerful feature detectors, and they can be used for unsupervised pre-training of deep neural networks.