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

Predicting Diabetes with Multilayer Perceptrons

In the first chapter, we went through the inner workings of a neural network, how to build our own neural network using Python libraries such as Keras, as well as the end-to-end machine learning workflow. In this chapter, we will apply what we have learned to build a multilayer perceptron (MLP) that can predict whether a patient is at risk of diabetes. This marks the first neural network project that we will build from scratch.

In this chapter, we will cover the following topics:

  • Understanding the problem that we're trying to tackle—diabetes mellitus
  • How AI is being used in healthcare today, and how AI will continue to transform healthcare
  • An in-depth analysis of the diabetes mellitus dataset, ...
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