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
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

What are you going to build?

 

Your first steps into the practical world of recurrent neural networks will be to build a simple model which determines the parity (http://mathworld.wolfram.com/Parity.html) of a bit sequence . This is a warm-up exercise released by OpenAI in January 2018 (https://blog.openai.com/requests-for-research-2/). The task can be explained as follows: 

Given a binary string of a length of 50, determine whether there is an even or odd number of ones. If that number is even, output 0, otherwise 1.

Later in this chapter, we will give a detailed explanation of the solution, together with addressing the difficult parts and how to tackle them.

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