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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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Understanding the translation model

Machine translation is often done using so-called statistical machine translation, based on statistical models. This approach works very well, but a key issue is that, for every pair of languages, we need to rebuild the architecture. Thankfully, in 2014, Cho et al. (https://arxiv.org/pdf/1406.1078.pdf) came out with a paper that aims to solve this, and other problems, using the increasingly popular recurrent neural networks. The model is called sequence-to-sequence, and has the ability to be trained on any pair of languages by just providing the right amount of data. In addition, its power lies in its ability to match sequences of different lengths, such as in machine translation, where a sentence in English may have a different size when compared to a sentence in Spanish. Let's examine how these tasks...

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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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