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Hands-On Natural Language Processing with Python

You're reading from Hands-On Natural Language Processing with Python A practical guide to applying deep learning architectures to your NLP applications

Product type Paperback

Published in Jul 2018

Publisher Packt

ISBN-13 9781789139495

Length 312 pages

Edition 1st Edition

Languages

Processing

Tools

NLTK

Concepts

Deep Learning

Authors (5):

Shanmugamani

Arumugam

Byiringiro

Joshi

Muthuswamy

+1 more

View More author details

Table of Contents (20) Chapters

Title Page

Packt Upsell

Foreword

Contributors

Preface

1. Getting Started

2. Text Classification and POS Tagging Using NLTK FREE CHAPTER

3. Deep Learning and TensorFlow

4. Semantic Embedding Using Shallow Models

5. Text Classification Using LSTM

6. Searching and DeDuplicating Using CNNs

7. Named Entity Recognition Using Character LSTM

8. Text Generation and Summarization Using GRUs

9. Question-Answering and Chatbots Using Memory Networks

10. Machine Translation Using the Attention-Based Model

11. Speech Recognition Using DeepSpeech

12. Text-to-Speech Using Tacotron

13. Deploying Trained Models

1. Other Books You May Enjoy

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Index

Deploying in the cloud

There are many cloud vendors that can be used for deploying trained models. In this section, we will see the steps to use Amazon Web Services (AWS) and Google Cloud Platform (GCP).

Amazon Web Services

AWS offers a number of products and solutions to support machine learning (ML). First, let's look at how to use AWS to launch a simple machine, following these steps:

After logging into AWS, you will see the following screen:

Select the Launch a virtual machine option. Next, you will see the following screen:

Getting started AWS screen

Click on Get started to go to the next screen, as follows:

Entering your instance identity name

Enter a name (probably your own name) to go to the next screen:

Selecting the operating system

Select the operating system for deployment. Ubuntu is a good choice:

Selecting Ubuntu for deployment

Select the type of instance, based on the hardware requirements:

In order to log in to the machine, a key pair has to be created for security. Provide a name for...

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Authors (5)

Shanmugamani

Shanmugamani

Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.

See other products by Shanmugamani

Arumugam

Arumugam

Rajesh Arumugam is an ML developer at SAP, Singapore. Previously, he developed ML solutions for smart city development in areas such as passenger flow analysis in public transit systems and optimization of energy consumption in buildings when working with Centre for Social Innovation at Hitachi Asia, Singapore. He has published papers in conferences and has pending patents in storage and ML. He holds a PhD in computer engineering from Nanyang Technological University, Singapore.

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Byiringiro

Byiringiro

See other products by Byiringiro

Joshi

Joshi

See other products by Joshi

Muthuswamy

Muthuswamy

See other products by Muthuswamy

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