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Hands-On One-shot Learning with Python

You're reading from Hands-On One-shot Learning with Python

Product type Book

Published in Apr 2020

Publisher Packt

ISBN-13 9781838825461

Pages 156 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Authors (2):

Shruti Jadon

Ankush Garg

View More author details

Table of Contents (11) Chapters

Preface

1. Section 1: One-shot Learning Introduction

2. Introduction to One-shot Learning

3. Section 2: Deep Learning Architectures

4. Metrics-Based Methods

5. Model-Based Methods

6. Optimization-Based Methods

7. Section 3: Other Methods and Conclusion

8. Generative Modeling-Based Methods

9. Conclusions and Other Approaches

10. Other Books You May Enjoy

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Further reading

For more detail some of the architectures that we looked at in this chapter, I would suggest reading the following papers:

Model-agnostic meta-learning: https://arxiv.org/pdf/1703.03400.pdf
Optimization as a model for few-shot learning: https://openreview.net/pdf?id=rJY0-Kcll

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Authors (2)

Shruti Jadon

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.

See other products by Shruti Jadon

Ankush Garg

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.

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