Data Augmentation in PyTorch: Enhancing Model Performance with Existing Data
This video demonstrates how data augmentation techniques in PyTorch can improve machine learning model performance by reusing and applying various transformations to existing data.

NeuralNine
4.1K views โข Dec 10, 2024

About this video
In this video, we learn how data augmentation can improve the performance of our machine learning models. For this, we re-use and apply transformations to already existing data, which helps our model with generalization.
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๐ Programming Books & Merch ๐
๐ The Python Bible Book: https://www.neuralnine.com/books/
๐ป The Algorithm Bible Book: https://www.neuralnine.com/books/
๐ Programming Merch: https://www.neuralnine.com/shop
๐ผ Services ๐ผ
๐ป Freelancing & Tutoring: https://www.neuralnine.com/services
๐ Social Media & Contact ๐
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๐ GitHub: https://github.com/NeuralNine
๐ Discord: https://discord.gg/JU4xr8U3dm
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Video Information
Views
4.1K
Likes
162
Duration
17:23
Published
Dec 10, 2024
User Reviews
4.6
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