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Deep learning for natural language processing creating neural networks with Python

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...

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Bibliographic Details
Main Authors: Goyal, Palash, Pandey, Sumit (Author), Jain, Karan (Author)
Format: eBook
Language:English
Published: [Place of publication not identified], New York Apress, Distributed to the Book trade worldwide by Springer Science+Business Media New York 2018
Subjects:
Réseaux Neuronaux (informatique)
Computers / Programming Languages / Python / Bisacsh
Neural Networks (computer Science) / Fast
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Python (computer Program Language) / Fast
Natural Language Processing
Python (computer Program Language) / Http://id.loc.gov/authorities/subjects/sh96008834
Neural Networks, Computer
Neural Networks (computer Science) / Http://id.loc.gov/authorities/subjects/sh90001937
Machine Learning / Fast
Apprentissage Automatique
Traitement Automatique Des Langues Naturelles
Natural Language Processing (computer Science) / Fast
Python (langage De Programmation)
Machine Learning
Natural Language Processing (computer Science) / Http://id.loc.gov/authorities/subjects/sh88002425
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Introduction
  • 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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