Stacked Autoencoding Algorithm

A Stacked Autoencoding Algorithm is a autoencoding neural learning algorithm that is an autoencoding algorithm (composed of multiple layers of sparse autoencoders in which the neural network later outputs are wired to the inputs of the successive layer).

• Context:
  • It can be implemented by a Stacked Autoencoding System (that solves a stacked denoising autoencoding task).
• Example(s):
  • …
• Counter-Example(s):
  • a Stacked Denoising Autoencoding Algorithm.
  • a Single-Layer Auto-Encoding Algorithm.
  • Stacked Decision Trees.
  • Stacked SVMs.
• See: Loss Function, Stochastic Mapping, Minimization Algorithm, Cross-Entropy, Restricted Boltzmann Machine, Multilayer Neural Network.

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