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Deep Learning for Natural Language Processing

You're reading from Deep Learning for Natural Language Processing Solve your natural language processing problems with smart deep neural networks

Product type Paperback

Published in Jun 2019

Publisher

ISBN-13 9781838550295

Length 372 pages

Edition 1st Edition

Languages

Processing

Tools

Processing

Concepts

Deep Learning

Authors (4):

Karthiek Reddy Bokka

Shubhangi Hora

Tanuj Jain

Wambugu

View More author details

Table of Contents (11) Chapters

About the Book

1. Introduction to Natural Language Processing

2. Applications of Natural Language Processing FREE CHAPTER

3. Introduction to Neural Networks

4. Foundations of Convolutional Neural Network

5. Recurrent Neural Networks

6. Gated Recurrent Units (GRUs)

7. Long Short-Term Memory (LSTM)

8. State-of-the-Art Natural Language Processing

9. A Practical NLP Project Workflow in an Organization

1. Appendix

Introduction

Welcome to deep learning for Natural Language Processing. This book guides you in understanding and optimizing deep learning techniques for the purpose of natural language processing, which furthers the reality of generalized artificial intelligence. You will journey through the concepts of natural language processing – its applications and implementations – and learn the ways of deep neural networks, along with utilizing them to enable machines to understand natural language.

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Authors (4)

Karthiek Reddy Bokka

Karthiek Reddy Bokka

Karthiek Reddy Bokka is a Speech and Audio Machine Learning Engineer graduated from University of Southern California and currently working for Biamp Systems in Portland. His interests include Deep Learning, Digital Signal and Audio Processing, Natural Language Processing, Computer Vision. He has experience in designing, building, deploying applications with Artificial Intelligence to solve real-world problems with varied forms of practical data, including Image, Speech, Music, unstructured raw data etc.

See other products by Karthiek Reddy Bokka

Shubhangi Hora

Shubhangi Hora

Shubhangi Hora is a data scientist, Python developer, and published writer. With a background in computer science and psychology, she is particularly passionate about healthcare-related AI, including mental health. Shubhangi is also a trained musician.

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Tanuj Jain

Tanuj Jain

Tanuj Jain is a data scientist working at a Germany-based company. He has a masters degree in electrical engineering with a focus on statistical pattern recognition. He has been developing deep learning models and putting them in production for commercial use at his current job. Natural language processing is a special interest area for him and he has applied his know-how to classification and sentiment rating tasks.

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Wambugu

Wambugu

Monicah Wambugu is the lead Data Scientist at Loanbee, a financial technology company that offers micro-loans by leveraging on data, machine learning and analytics to perform alternative credit scoring. She is a graduate student at the School of Information at UC Berkeley Masters in Information Management and Systems. Monicah is particularly interested in how data science and machine learning can be used to design products and applications that respond to the behavioral and socio-economic needs of target audiences.

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