Chapter 19 Autoencoders

Learning objectives

• Defining autoencoders and some of its applications.

• Explaining how to train, evaluate and tune undercomplete autoencoders using h2o

• Explaining how to use autoencoders to find outlier observations.

• Explaining how to train and evaluate denoising autoencoders using h2o

• Explaining how to train, evaluate and tune sparse autoencoders using h2o

• Listing some other popular autoencoders