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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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Summary

 

In this chapter, you went through the process of building a book chapter generator using a Gated Recurrent Unit neural network. You understood what sits behind this powerful model and how you can put it into practice with a handful of lines of code using TensorFlow. In addition, you faced the challenge of preparing and clearing your data so that your model is trained correctly. 

In the next chapter, you will fortify your skills by implementing your first real-life practical application—a language translator. You have probably faced the online Google Translate software and were amazed by how well it worked. In the next chapter, you will understand what sits behind a sophisticated system like that and why its level of accuracy has increased drastically in recent years. 

I hope the current chapter advanced your deep learning knowledge and that you...

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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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