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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
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Shruti Jadon
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Toc

Table of Contents (11) Chapters Close

Coding exercise

In this section, we will explore a basic one-shot learning approach. As humans, we have a hierarchical way of thinking. For example, if we see something unknown to us, we look for its similarity to objects we already know. Similarly, in this exercise, we will use a nonparametric kNN approach to find classes. We will also compare its performance to the basic neural network architecture.

kNN – basic one-shot learning

In this exercise, we will compare kNN to neural networks where we have a small dataset. We will be using the iris dataset imported from the scikit-learn library.

To begin, we will first discuss the basics of kNN. The kNN classifier is a nonparametric classifier that simply stores the training...

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Hands-On One-shot Learning with Python
Published in: Apr 2020
Publisher: Packt
ISBN-13: 9781838825461
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