Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Recurrent Neural Networks with Python Quick Start Guide

You're reading from   Recurrent Neural Networks with Python Quick Start Guide Sequential learning and language modeling with TensorFlow

Arrow left icon
Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789132335
Length 122 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Simeon Kostadinov Simeon Kostadinov
Author Profile Icon Simeon Kostadinov
Simeon Kostadinov
Arrow right icon
View More author details
Toc

Improving Your RNN Performance

This chapter goes through some techniques for improving your recurrent neural network model. Often, the initial results from your model can be disappointing, so you need to find ways of improving them. This can be done with various methods and tools, but we will focus on two main areas:

  • Improving the RNN model performance with data and tuning
  • Optimizing the TensorFlow library for better results

First, we will see how more data, as well as tuning the hyperparameters, can yield significantly better results. Then our focus will shift to getting the most out of the built-in TensorFlow functionality. Both approaches are applicable to any task that involves the neural network model, so the next time you want to do image recognition with convolutional networks or fix a rescaled image with GAN, you can apply the same techniques for perfecting your model...

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