Deep Learning for Natural Language Processing : Creating Neural Networks with Python

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 the f...

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Detalles Bibliográficos
Autores principales: Goyal, Palash. author (author), Pandey, Sumit. author, Jain, Karan. author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2018.
Edición:1st ed. 2018.
Materias:
Artificial intelligence.
Python (Computer program language).
Open source software.
Computer programming.
Artificial Intelligence.
Python.
Open Source.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630631706719
Tabla de Contenidos:
  • 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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