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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

Towards Artificial General Intelligence

Artificial General Intelligence (AGI) enables machines to perform cognitive or intellectual tasks that a human can perform. It is a different or a more difficult concept than AI, as AGI involves achieving general intelligence beyond asking a machine to perform a task given necessary data. For example, let's say we put a robot in a novel environment (say, a house that robot has never visited) and ask it to make coffee. If it can actually navigate the house, find the machine, learn how to operate it, execute the correct sequence of actions needed to make coffee and bring the coffee to a human, then we can say that robot has achieved AGI. We are still far from achieving AGI, but steps are being made in that direction. Also, NLP will play a great role in this as the most natural way for humans to interact is vocal communication.

The papers that will be discussed here are single models that try to learn to do many tasks. In other words, a single end-to...

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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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