Skip to Content
Reinforcement Learning with TensorFlow
book

Reinforcement Learning with TensorFlow

by Sayon Dutta
April 2018
Intermediate to advanced content levelIntermediate to advanced
334 pages
10h 18m
English
Packt Publishing
Content preview from Reinforcement Learning with TensorFlow

Deep autoencoder

A deep autoencoder is a type of deep neural network composed of two symmetrical neural networks, as shown in the following diagram, which is capable of converting input data to a more compact representation that is also lower in dimension. The encoder network first encodes the input into a compact compressed representation and the decoder network decodes that representation back to output the original input. As shown in the following diagram, there are two neural networks (encoder and decoder) connected by a middle layer, which contains the compact compressed representation of the input data:

Architecture of an autoencoder  ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Deep Learning with TensorFlow - Second Edition

Deep Learning with TensorFlow - Second Edition

Giancarlo Zaccone, Vihan Jain, Md. Rezaul Karim, Motaz Saad
Deep Learning with TensorFlow 2 and Keras - Second Edition

Deep Learning with TensorFlow 2 and Keras - Second Edition

Antonio Gulli, Dr. Amita Kapoor, Sujit Pal

Publisher Resources

ISBN: 9781788835725Supplemental Content