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Natural Language Processing with TensorFlow

You're reading from Natural Language Processing with TensorFlow Teach language to machines using Python's deep learning library

Product type Paperback

Published in May 2018

Publisher Packt

ISBN-13 9781788478311

Length 472 pages

Edition 1st Edition

Languages

Processing

Tools

Processing

Concepts

Deep Learning

Authors (2):

Thushan Ganegedara

Motaz Saad

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Table of Contents (14) Chapters

Preface

1. Introduction to Natural Language Processing FREE CHAPTER

2. Understanding TensorFlow

3. Word2vec – Learning Word Embeddings

4. Advanced Word2vec

5. Sentence Classification with Convolutional Neural Networks

6. Recurrent Neural Networks

7. Long Short-Term Memory Networks

8. Applications of LSTM – Generating Text

9. Applications of LSTM – Image Caption Generation

10. Sequence-to-Sequence Learning – Neural Machine Translation

11. Current Trends and the Future of Natural Language Processing

A. Mathematical Foundations and Advanced TensorFlow

Index

What is TensorFlow?

In Chapter 1, Introduction to Natural Language Processing, we briefly discussed what TensorFlow is. Now let's take a closer look at it. TensorFlow is an open source distributed numerical computation framework released by Google that is mainly intended to alleviate the painful details of implementing a neural network (for example, computing derivatives of the weights of the neural network). TensorFlow takes this even a step further by providing efficient implementations of such numerical computations using Compute Unified Device Architecture (CUDA), which is a parallel computational platform introduced by NVIDIA. The Application Programming Interface (API) of TensorFlow at https://www.tensorflow.org/api_docs/python/ shows that TensorFlow provides thousands of operations that make our lives easier.

TensorFlow was not developed overnight. This is a result of the persistence of talented, good-hearted individuals who wanted to make a difference by bringing deep learning...

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Authors (2)

Ganegedara

Ganegedara

Thushan is a seasoned ML practitioner with 4+ years of experience in the industry. Currently he is a senior machine learning engineer at Canva; an Australian startup that founded the online visual design software, Canva, serving millions of customers. His efforts are particularly concentrated in the search and recommendations group working on both visual and textual content. Prior to Canva, Thushan was a senior data scientist at QBE Insurance; an Australian Insurance company. Thushan was developing ML solutions for use-cases related to insurance claims. He also led efforts in developing a Speech2Text pipeline there. He obtained his PhD specializing in machine learning from the University of Sydney in 2018.

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Saad

Saad

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