PyTorch Data Augmentation with Torchvision
This video demonstrates how to perform image transformations in PyTorch using Torchvision. Learn how to expand your dataset by applying various data augmentation techniques to improve model robustness.

Aladdin Persson
44.7K views โข Apr 9, 2020

About this video
In this video we look at an example of how to performs tranformations on images in Pytorch. This idea of expanding your dataset with transformed images is called data augmentation and is a very popular and effective method for achieving better performance.
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โค๏ธ Support the channel โค๏ธ
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Paid Courses I recommend for learning (affiliate links, no extra cost for you):
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โญ Deep Learning Specialization https://bit.ly/3YcUkoI
๐ MLOps Specialization http://bit.ly/3wibaWy
๐ GAN Specialization https://bit.ly/3FmnZDl
๐ NLP Specialization http://bit.ly/3GXoQuP
โจ Free Resources that are great:
NLP: https://web.stanford.edu/class/cs224n/
CV: http://cs231n.stanford.edu/
Deployment: https://fullstackdeeplearning.com/
FastAI: https://www.fast.ai/
๐ป My Deep Learning Setup and Recording Setup:
https://www.amazon.com/shop/aladdinpersson
GitHub Repository:
https://github.com/aladdinpersson/Machine-Learning-Collection
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โถ๏ธ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/aladdin-persson-a95384153/
Github - https://github.com/aladdinpersson
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Video Information
Views
44.7K
Likes
731
Duration
9:40
Published
Apr 9, 2020
User Reviews
4.7
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