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You're reading from  Recurrent Neural Networks with Python Quick Start Guide

Product typeBook
Published inNov 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789132335
Edition1st Edition
Languages
Python
Tools
TensorFlow
Concepts
Neural Networks
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Author (1)
Simeon Kostadinov
Simeon Kostadinov
author image
Simeon Kostadinov

Simeon Kostadinoff works for a startup called Speechify which aims to help people go through their readings faster by converting any text into speech. Simeon is Machine Learning enthusiast who writes a blog and works on various projects on the side. He enjoys reading different research papers and implement some of them in code. He was ranked number 1 in mathematics during his senior year of high school and thus he has deep passion about understanding how the deep learning models work under the hood. His specific knowledge in Recurrent Neural Networks comes from several courses that he has taken at Stanford University and University of Birmingham. They helped in understanding how to apply his theoretical knowledge into practice and build powerful models. In addition, he recently became a Stanford Scholar Initiative which includes working in a team of Machine Learning researchers on a specific deep learning research paper.
Read more about Simeon Kostadinov

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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.

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Recurrent Neural Networks with Python Quick Start Guide
Published in: Nov 2018Publisher: PacktISBN-13: 9781789132335
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Simeon Kostadinov

Simeon Kostadinoff works for a startup called Speechify which aims to help people go through their readings faster by converting any text into speech. Simeon is Machine Learning enthusiast who writes a blog and works on various projects on the side. He enjoys reading different research papers and implement some of them in code. He was ranked number 1 in mathematics during his senior year of high school and thus he has deep passion about understanding how the deep learning models work under the hood. His specific knowledge in Recurrent Neural Networks comes from several courses that he has taken at Stanford University and University of Birmingham. They helped in understanding how to apply his theoretical knowledge into practice and build powerful models. In addition, he recently became a Stanford Scholar Initiative which includes working in a team of Machine Learning researchers on a specific deep learning research paper.
Read more about Simeon Kostadinov

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