Jadon / Garg Hands-On One-shot Learning with Python

Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch
1. Auflage 2020
ISBN: 978-1-83882-487-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 156 Seiten

No detailed description available for "Hands-On One-shot Learning with Python".

Autoren/Hrsg.

Jadon, Shruti

Garg, Ankush

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

Table of Contents - Introduction to One-shot Learning
- Metrics-Based Methods
- Models-Based Methods
- Optimization-Based Methods
- Generative Modeling-Based Methods
- Conclusion and Other Approaches

Über Autor(innen)

Jadon Shruti:

Shruti Jadon is currently working as a Machine Learning Software Engineer at Juniper Networks, Sunnyvale and visiting Researcher at Rhode Island Hospital (Brown University). She has obtained her master's degree in Computer Science from University of Massachusetts, Amherst. Her research interests include deep learning architectures, computer vision, and convex optimization. In the past, she has worked at Autodesk, Quantiphi, SAP Labs, and Snapdeal.Garg Ankush:

Ankush Garg is currently working as a Software Engineer in the auto-translation team at Google, Mountain View. He has obtained his master's degree in Computer Science from the University of Massachusetts, Amherst and Bachelor's at NSIT, Delhi. His research interests include language modeling, model compression, and optimization. In the past, he has worked as a Software Engineer at Amazon, India.