Saad / Ganegedara Natural Language Processing with TensorFlow

Teach language to machines using Python's deep learning library
1. Auflage 2018
ISBN: 978-1-78847-775-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 472 Seiten

No detailed description available for "Natural Language Processing with TensorFlow".

Autoren/Hrsg.

Saad, Motaz

Ganegedara, Thushan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

Table of Contents - Introduction
- How to Get TensorFlow to Work
- Producing Word Embeddings with Word2Vec
- Advanced Word2Vec
- Sentence Classification with CNNs
- Language Modelling with RNNs
- What is LSTM?
- Applying LSTM to Text Generation
- Applications of LSTM: Image Caption Generation
- Neural Machine Translation
- NLP developments and Trends
- Appendix I Linear Algebra and Statistics

Über Autor(innen)

Ganegedara Thushan:

Thushan is a seasoned ML practitioner with 4+ years of experience in the industry. Currently he is a senior machine learning engineer at Canva; an Australian startup that founded the online visual design software, Canva, serving millions of customers. His efforts are particularly concentrated in the search and recommendations group working on both visual and textual content. Prior to Canva, Thushan was a senior data scientist at QBE Insurance; an Australian Insurance company. Thushan was developing ML solutions for use-cases related to insurance claims. He also led efforts in developing a Speech2Text pipeline there. He obtained his PhD specializing in machine learning from the University of Sydney in 2018.