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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

Generative Modeling-Based Methods

When humans make inferences about unseen data, they make use of strong prior knowledge (or inductive bias) about related events they've seen, heard, touched, or experienced. For example, an infant who has grown up with a dog may see a cat for the first time and immediately infer that it shares similarities with the pet-like temperament of the household dog. Of course, cats and dogs as species and individuals are wildly different; however, it's fair to say that a cat is more similar to a dog than other random things the child has experienced—such as food. Humans, as opposed to machine learning models, don't need thousands of examples of cats to learn that category from scratch once they have already learned to recognize a dog. The human brain has this innate capability of learning to learn, which is related to transfer learning...

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