Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Deep Learning with PyTorch Quick Start Guide

You're reading from   Deep Learning with PyTorch Quick Start Guide Learn to train and deploy neural network models in Python

Arrow left icon
Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789534092
Length 158 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
David Julian David Julian
Author Profile Icon David Julian
David Julian
Arrow right icon
View More author details
Toc

Hyper-parameters and multilayered networks

Now that you understand the process of building, training, and testing models, you will see that expanding these simple networks to increase performance is relatively straightforward. You will find that nearly all models we build consist, essentially, of the following six steps:

  1. Import data and create iterable data-loader objects for the training and test sets
  2. Build and instantiate a model class
  3. Instantiate a loss class
  4. Instantiate an optimizer class
  5. Train the model
  6. Test the model

Of course, once we complete these steps, we will want to improve our models by adjusting a set of hyper-parameters and repeating the steps. It should be mentioned that although we generally consider hyper-parameters things that are specifically set by a human, the setting of these hyper-parameters can be partially automated, as we shall see in the case of...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image