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portada Deep Learning for Natural Language Processing: Creating Neural Networks With Python
Type
Physical Book
Publisher
Author
Year
2018
Language
English
Pages
296
Format
Paperback
ISBN13
9781484236840
Categories

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

Palash Goyal (Author) · Apress · Paperback

Deep Learning for Natural Language Processing: Creating Neural Networks With Python - Palash Goyal

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Synopsis "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 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 LearnGain the fundamentals of deep learning and its mathematical prerequisitesDiscover deep learning frameworks in Python Develop a chatbot Implement a research paper on sentiment classificationWho This Book Is ForSoftware developers who are curious to try out deep learning with NLP.

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