Arumugam / Shanmugamani / Byiringiro | Hands-On Natural Language Processing with Python | E-Book | sack.de
E-Book

E-Book, Englisch, 312 Seiten

Arumugam / Shanmugamani / Byiringiro Hands-On Natural Language Processing with Python

A practical guide to applying deep learning architectures to your NLP applications
1. Auflage 2018
ISBN: 978-1-78913-591-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

A practical guide to applying deep learning architectures to your NLP applications

E-Book, Englisch, 312 Seiten

ISBN: 978-1-78913-591-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



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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


Arumugam Rajesh:

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.Shanmugamani Rajalingappaa:

Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.



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