reconstruction inputs coming unknown data generating distribution necessarily faithful configurations implausible distribution replaces manual feature engineering allows machine learn features use perform specific task feature learning either supervised unsupervised supervised feature learning features learned using labeled input data examples include artificial neural networks multilayer perceptrons supervised dictionary learning unsupervised feature learning features learned unlabeled input data examples include dictionary learning independent component analysis autoencoders matrix factorization various forms
Formal science Computer science Artificial intelligence Machine learning