Skip to Content
Neural Network Projects with Python
book

Neural Network Projects with Python

by James Loy
February 2019
Beginner to intermediate
308 pages
7h 42m
English
Packt Publishing
Content preview from Neural Network Projects with Python

What are autoencoders?

So far in this book, we have looked at the applications of neural networks for supervised learning. Specifically, in each project, we have a labeled dataset (that is, features x and label y) and our goal is to train a neural network using this dataset, so that the neural network is able to predict label y from any new instance x.

A typical feedforward neural network is shown in the following diagram:

In this chapter, we will study a different class of neural networks, known as autoencoders. Autoencoders represent a paradigm shift from the conventional neural networks we have seen so far. The goal of autoencoders is ...

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

Machine Learning with Python Cookbook

Machine Learning with Python Cookbook

Chris Albon

Publisher Resources

ISBN: 9781789138900Supplemental Content