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Deep Learning for Natural Language Processing - Creating Neural Networks with Python (Paperback, 1st ed.)
Loot Price: R1,710
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Deep Learning for Natural Language Processing - Creating Neural Networks with Python (Paperback, 1st ed.)
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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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