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This repository includes my whole project folder I used for a final quick project as part of the course MAT1510 - DeepLearning: Thery&DataScience offered by Vardan Papyan at the University of Toronto in 2025. It is based on the paper "The Low-Rank Simplicity Bias in Deep Networks" by Huh et al.

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The main contents are in the DD_hypothesis_testing folder. In there the main (training) script is 'DD_R32_D48_training.py'. The plotting is done with the jupyter notebooks. Droid from factory.ai and GitHub Copilot significantly accelerated the coding process.

About

This repository includes my whole project folder I used for a final quick project as part of the course MAT1510 - DeepLearning: Thery&DataScience offered by Vardan Papyan at the University of Toronto in 2025. It is based on the paper "The Low-Rank Simplicity Bias in Deep Networks" by Huh et al.

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Readme
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