Subramanian Deep Learning with PyTorch

A practical approach to building neural network models using PyTorch
1. Auflage 2018
ISBN: 978-1-78862-607-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 262 Seiten

No detailed description available for "Deep Learning with PyTorch".

Autoren/Hrsg.

Subramanian, Vishnu

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

Table of Contents - Getting Started with Pytorch for Deep Learning
- Mathematical building blocks of Neural Networks
- Getting Started with Neural Networks
- Fundamentals of Machine Learning
- Deep Learning for Computer Vision

- Natural Language Processing for PyTorch

- Advanced neural network architectures
- Generative networks
- Conclusion

Über Autor(innen)

Subramanian Vishnu:

Vishnu Subramanian has an experience in leading, architecting and implementing several Big Data analytical projects (AI, ML and Deep Learning). Specialized in Machine learning, Deep Learning, Distributed ML, and Visualization. Also, he has experience in domains like Retail, Finance, and Travel and has specialized in understanding and coordinating between Business, AI (Machine Learning, Deep learning) and Engineering teams.