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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

Introduction to One-shot Learning

Humans can learn new things with a small set of examples. When presented with stimuli, humans seem to be able to understand new concepts quickly and then recognize variations of those concepts in the future. A child can learn to recognize a dog from a single picture, but a machine learning system needs a lot of examples to learn the features of a dog and recognize them in the future. Machine learning, as a field, has been highly successful at a variety of tasks, such as classification and web searching, as well as image and speech recognition. Often, however, these models do not perform well without a large amount of data (examples) to learn from. The primary motivation behind this book is to train a model with very few examples that is capable of generalizing to unfamiliar categories without extensive retraining.

Deep learning has played an important...

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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