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Download Deep Learning for Natural Language Processing free book as pdf format

Deep Learning for Natural Language Processing

Creating Neural Networks with Python This link for educational purpose only. Please remove file from your computer after familiarization.
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.

What You Will Learn

  • 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
Who This Book Is For

Software developers who are curious to try out deep learning with NLP.

Book year:

Book pages: 277

ISBN: 148423684X

Book language: en

File size: 7.30 MB

File type: pdf

Published: 12 April 2019 - 22:11