Chapter 7. A peek into autoencoders

This chapter covers

  • Getting to know neural networks
  • Designing autoencoders
  • Representing images by using an autoencoder

Have you ever heard a person humming a melody, and identified the song? It might be easy for you, but I’m comically tone-deaf when it comes to music. Humming, of itself, is an approximation of a song. An even better approximation could be singing. Include some instrumentals, and sometimes a cover of a song sounds indistinguishable from the original.

Instead of songs, in this chapter, you’ll approximate functions. Functions are a general notion of relations between inputs and outputs. In ...

Get Machine Learning with TensorFlow now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.