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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

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788478311
Length 472 pages
Edition 1st Edition
Languages
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Authors (2):
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Thushan Ganegedara Thushan Ganegedara
Author Profile Icon Thushan Ganegedara
Thushan Ganegedara
Motaz Saad Motaz Saad
Author Profile Icon Motaz Saad
Motaz Saad
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to Natural Language Processing 2. Understanding TensorFlow FREE CHAPTER 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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