Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications

Author:   Rajesh Arumugam ,  Rajalingappaa Shanmugamani
Publisher:   Packt Publishing Limited
ISBN:  

9781789139495


Pages:   312
Publication Date:   18 July 2018
Format:   Paperback
Availability:   In stock   Availability explained
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Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications


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Author:   Rajesh Arumugam ,  Rajalingappaa Shanmugamani
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781789139495


ISBN 10:   178913949
Pages:   312
Publication Date:   18 July 2018
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Getting Started Text Classification and POS Tagging Using NLTK Deep Learning and TensorFlow Semantic Embedding Using Shallow Models Text Classification Using LSTM Searching and DeDuplicating Using CNNs Named Entity Recognition Using Character LSTM Text Generation and Summarization Using GRUs Question-Answering and Chatbots Using Memory Networks Machine Translation Using the Attention-Based Model Speech Recognition Using DeepSpeech Text-to-Speech Using Tacotron Deploying Trained Models

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Author Information

Rajesh Arumugam is an ML developer at SAP, Singapore. Previously, he developed ML solutions for smart city development in areas such as passenger flow analysis in public transit systems and optimization of energy consumption in buildings when working with Centre for Social Innovation at Hitachi Asia, Singapore. He has published papers in conferences and has pending patents in storage and ML. He holds a PhD in computer engineering from Nanyang Technological University, Singapore. Rajalingappaa Shanmugamani is a deep learning lead at SAP, Singapore. Previously, he worked and consulted at various start-ups for developing computer vision products. He has a masters from IIT Madras, where his thesis was based on applications of computer vision in manufacturing. He has published articles in peer-reviewed journals and conferences and applied for a few patents in ML. In his spare time, he teaches programming and machine learning to school students and engineers.

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