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Hands-On One-shot Learning with Python

You're reading from   Hands-On One-shot Learning with Python Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781838825461
Length 156 pages
Edition 1st Edition
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Authors (2):
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Ankush Garg Ankush Garg
Author Profile Icon Ankush Garg
Ankush Garg
Shruti Jadon Shruti Jadon
Author Profile Icon Shruti Jadon
Shruti Jadon
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Toc

Table of Contents (11) Chapters Close

Preface 1. Section 1: One-shot Learning Introduction
2. Introduction to One-shot Learning FREE CHAPTER 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

The human brain – overview

The human brain has been a subject of research since the beginning of civilization. If we look into the development of a child, we will observe that as they grow, their ability to learn also grows. First, they learn about food, then they learn to identify faces. Every time a child learns something, information is encoded into some portion of the brain. Still, the real question remains, how does information get stored in our brains? Why is some information hardcoded, yet other information is easily forgotten?

How the human brain learns

Most of the information on how the brain trains itself to process data is unknown, but there are various theories that explore it. If we look into the structure...

You have been reading a chapter from
Hands-On One-shot Learning with Python
Published in: Apr 2020
Publisher: Packt
ISBN-13: 9781838825461
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