Ganegedara Natural Language Processing with TensorFlow

The definitive NLP book to implement the most sought-after machine learning models and tasks
2. Auflage 2022
ISBN: 978-1-83864-774-2
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 514 Seiten

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

Autoren/Hrsg.

Ganegedara, Thushan

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Digitale Musik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

Table of Contents - Introduction to Natural Language Processing
- Understanding TensorFlow 2
- Word2vec
- Advanced Word Vector Algorithms
- Sentence Classification with Convolutional Neural Networks
- Recurrent Neural Networks
- Understanding Long Short-Term Memory Networks
- Applications of LSTM
- Sequence-to-Sequence Learning
- Transformers
- Image Captioning with Transformers
- Appendix A: Mathematical Foundations and Advanced TensorFlow

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.