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Deep Learning for Natural Language Processing

Creating Neural Networks with Python

  • Palash Goyal
  • Sumit Pandey
  • Karan Jain

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Palash Goyal, Sumit Pandey, Karan Jain
    Pages 1-74
  3. Palash Goyal, Sumit Pandey, Karan Jain
    Pages 75-118
  4. Palash Goyal, Sumit Pandey, Karan Jain
    Pages 119-168
  5. Palash Goyal, Sumit Pandey, Karan Jain
    Pages 169-229
  6. Palash Goyal, Sumit Pandey, Karan Jain
    Pages 231-268
  7. Back Matter
    Pages 269-277

About this book

Introduction

Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.

You’ll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. The final chapters focus entirely on implementation, and deal with sophisticated architectures such as RNN, LSTM, and Seq2seq, using Python tools: TensorFlow, and Keras. Deep Learning for Natural Language Processing follows a progressive approach and combines all the knowledge you have gained to build a question-answer chatbot system.

This book is a good starting point for people who want to get started in deep learning for NLP. All the code presented in the book will be available in the form of IPython notebooks and scripts, which allow you to try out the examples and extend them in interesting ways.

You will:
  • Gain the fundamentals of deep learning and its mathematical prerequisites
  • Discover deep learning frameworks in Python 
  • Develop a chatbot 
  • Implement a research paper on sentiment classification

Keywords

Natural Language Processing Deep Learning Python Neural Networks Recurrent Neural Networks Chatbots Reinforcement Learning

Authors and affiliations

  • Palash Goyal
    • 1
  • Sumit Pandey
    • 2
  • Karan Jain
    • 3
  1. 1.BangaloreIndia
  2. 2.BangaloreIndia
  3. 3.BangaloreIndia

Bibliographic information