Téléchargez le livre : Deep Learning for Natural Language Processing

Deep Learning for Natural Language Processing

Creating Neural Networks with Python

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Éditeur :

Apress


Paru le : 2018-06-26



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Description


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.
Pages
277 pages
Collection
n.c
Parution
2018-06-26
Marque
Apress
EAN papier
9781484236840
EAN PDF
9781484236857
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
7557 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
66,05 €

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