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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Goyal, Palash (Autor), Pandey, Sumit (Autor), Jain, Karan (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Place of publication not identified] : Apress, [2018]
Temas:
Python (Computer program language)
Natural language processing (Computer science)
Neural networks (Computer science)
Machine learning.
Natural Language Processing
Neural Networks, Computer
Python (Langage de programmation)
Traitement automatique des langues naturelles.
Réseaux neuronaux (Informatique)
Apprentissage automatique.
COMPUTERS / Programming Languages / Python.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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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