An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges
David Charte, Francisco Charte, María José del Jesús, Francisco Herrera
Topics & Concepts
Computer scienceArtificial intelligenceFeature learningMachine learningIsomapMulti-task learningAutoencoderNonlinear dimensionality reductionEmbeddingRepresentation (politics)Dimensionality reductionInstance-based learningUnsupervised learningContext (archaeology)Deep learningTask (project management)ManagementPoliticsBiologyPolitical sciencePaleontologyLawEconomicsGenerative Adversarial Networks and Image SynthesisAnomaly Detection Techniques and ApplicationsTime Series Analysis and Forecasting