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Deep Learning with PyTorch Lightning

You're reading from  Deep Learning with PyTorch Lightning

Product type Book
Published in Apr 2022
Publisher Packt
ISBN-13 9781800561618
Pages 366 pages
Edition 1st Edition
Languages
Author (1):
Kunal Sawarkar Kunal Sawarkar
Profile icon Kunal Sawarkar

Table of Contents (15) Chapters

Preface Section 1: Kickstarting with PyTorch Lightning
Chapter 1: PyTorch Lightning Adventure Chapter 2: Getting off the Ground with the First Deep Learning Model Chapter 3: Transfer Learning Using Pre-Trained Models Chapter 4: Ready-to-Cook Models from Lightning Flash Section 2: Solving using PyTorch Lightning
Chapter 5: Time Series Models Chapter 6: Deep Generative Models Chapter 7: Semi-Supervised Learning Chapter 8: Self-Supervised Learning Section 3: Advanced Topics
Chapter 9: Deploying and Scoring Models Chapter 10: Scaling and Managing Training Other Books You May Enjoy

What is Contrastive Learning?

The idea of understanding an image is to get an image of a particular kind (say a dog) and then we can recognize all other dogs by reasoning that they share the same representation or structure. For example, if you show a child who is not yet able to talk or understand language (say, less than 2 years old) a picture of a dog (or a real dog for that matter) and then give them a pack of cards with a collection of animals, which includes dogs, cats, elephants, and birds, and ask the child which picture is similar to the first one, it is most likely that the child could easily pick the card with a dog on it. And the child would be able to do so even without you explaining that this picture equals "dog" (in other words, without supplying any new labels).

You could say that a child learned to recognize all dogs in a single instance and with a single label! Wouldn't it be awesome if a machine could do that as well? That is exactly what contrastive...

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