Deep learning for natural language processing

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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.

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Taal: en

Bindwijze: E-book

Oorspronkelijke releasedatum: 26 juni 2018

Ebook Formaat: Adobe ePub

Illustraties: Nee

Hoofdauteur: Palash Goyal

Tweede Auteur: Sumit Pandey

Co Auteur: Karan Jain

Hoofduitgeverij: Apress

Lees dit ebook op: Android (smartphone en tablet)

Lees dit ebook op: Kobo e-reader

Lees dit ebook op: Desktop (Mac en Windows)

Lees dit ebook op: iOS (smartphone en tablet)

Lees dit ebook op: Windows (smartphone en tablet)

Studieboek: Ja

EAN: 9781484236857

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