14 Autoencoders

14.1 Undercomplete Autoencoders

14.2 Regularized Autoencoders

14.2.1 Sparse Autoencoders

14.2.2 Denoising Autoencoders

14.2.3 Regularizing by Penalizing Derivatives

14.3 Representational Power, Layer Size and Depth

14.4 Stochastic Encoders and Decoders

14.5 Denoising Autoencoders

14.5.1 Estimating the Score

14.5.1.1 Historical Perspective

14.6 Learning Manifolds with Autoencoders

14.7 Contractive Autoencoders

14.8 Predictive Sparse Decomposition

14.9 Applications of Autoencoders