Deep Learning for Natural Language Processing Creating Neural Networks with Python

Deep Learning for Natural Language Processing Creating Neural Networks with Python / by Palash Goyal, Sumit Pandey, Karan Jain.

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 f...

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Bibliographic Details
Main Authors: Goyal, Palash (Author), Pandey, Sumit (Author), Jain, Karan (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berkeley, CA : Apress : Imprint: Apress, 2018.
Edition:1st ed. 2018.
Series:Springer eBook Collection.
Subjects:
Artificial intelligence.
Python (Computer program language).
Open source software.
Computer programming.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Chapter 1: Introduction to NLP and Deep Learning
  • Chapter 2: Word Vector representations
  • Chapter 3: Unfolding Recurrent Neural Networks
  • Chapter 4: Developing a Chatbot
  • Chapter 5: Research Paper Implementation: Sentiment Classification.

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