Chapter: Natural Language Processing Using Recurrent Neural Networks

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Home > Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python > Natural Language Processing Using Recurrent Neural Networks

Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python |

Santanu Pattanayak

Apress

Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python

Natural Language Processing Using Recurrent Neural Networks

Chapter Info

Authors

Santanu Pattanayak

ARI Id

1665093071652_4794963

Access

Not Available Free

Pages

223-278

DOI

10.1007/978-1-4842-3096-1_4

Chapter URL

https://rd.springer.com/chapter/10.1007/978-1-4842-3096-1_4

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xxi
Mathematical Foundations	Santanu Pattanayak	1-87
Introduction to Deep-Learning Concepts and TensorFlow	Santanu Pattanayak	89-152
Convolutional Neural Networks	Santanu Pattanayak	153-221
Natural Language Processing Using Recurrent Neural Networks	Santanu Pattanayak	223-278
Unsupervised Learning with Restricted Boltzmann Machines and Auto-encoders	Santanu Pattanayak	279-343
Advanced Neural Networks	Santanu Pattanayak	345-392
Back Matter		393-398
Chapters/Headings	Author(s)	Pages	Info

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