chapter twelve

12 Applying autoencoders: the CIFAR-10 image dataset

 

This chapter covers

  • Navigating and understanding the structure of the CIFAR-10 image dataset
  • Building an autoencoder model for representing different CIFAR-10 image classes
  • Applying the CIFAR-10 autoencoder as an image classifier
  • Implementing a stacked and denoising autoencoder on CIFAR-10 images

12.1       What is CIFAR-10

12.1.1   Evaluating your CIFAR-10 Autoencoder

12.2       Autoencoders as classifiers

12.2.1   Using the Autoencoder as a classifier via loss

12.3       De-noising autoencoders

12.4       Stacked deep autoencoders

12.5       Summary