Items related to Hands-On One-shot Learning with Python
Synopsis
Get to grips with building powerful deep learning models using PyTorch and scikit-learn
Key Features
- Learn how you can speed up the deep learning process with one-shot learning
- Use Python and PyTorch to build state-of-the-art one-shot learning models
- Explore architectures such as Siamese networks, memory-augmented neural networks, model-agnostic meta-learning, and discriminative k-shot learning
Book Description
One-shot learning has been an active field of research for scientists trying...
About the Author
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.
Ankush Garg is currently working...
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- PublisherPackt Publishing
- Publication date2020
- ISBN 10 1838825460
- ISBN 13 9781838825461
- BindingPaperback
- LanguageEnglish
- Number of pages156
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Hands-On One-shot Learning with Python: A practical guide to implementing fast and accurate deep learning models with fewer training samples
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