Introduction to Negative Data Augmentation

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Negative Data Augmentation Comprehensive Overview

This video explains a technique for domain agnostic In this video, we explain the concept of Data augmentation

When we don't have enough training samples to cover diverse cases in image classification, often CNN might overfit. To address ...

Summary & Highlights for Negative Data Augmentation

  • Albumentations is the way to go. I really like this library and I think you will too! ❤️ Support the channel ...
  • Take the Deep Learning Specialization: http://bit.ly/2TowhDV Check out all our courses: https://www.deeplearning.ai Subscribe to ...
  • Authors: Miyai, Atsuyuki*; Yu, Qing; Ikami, Daiki; Irie, Go; Aizawa, Kiyoharu Description: Rotation is frequently listed as a candidate ...
  • ... in order to regularize the model - *
  • This is a test drive of our DivAug's ability to help with COVID-19 diagnosis. Using a small dataset of 250 X-ray images, the ...

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