🔍 Debug ML With Overfitting: PyTorch Lightning (Tutorial + Example)

Publié le: 31 mai 2022
sur la chaîne: Jimi V. (Bitswired)

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⌛️ Save tons of time debugging machine learning models.
✅ Use overfitting to detect bugs quickly.
👩🏽‍💻. A concrete code example with PyTorch and Lightning

Debugging machine learning models can be hard and time consuming. Many thing can go wrong:
A bug in data loading
A bug in the mode itself
A bug in the training loop
...
As bad as overfitting sounds, it can be your ally to debug machine learning models quickly. Let's see how!

👉🏽 Link to the demo Notebook: https://github.com/bitswired/bitsof-a...

Hope you'll enjoy it!

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00:00 Intro
00:21 What Is Overfitting?
01:53 How Overfitting Helps Debugging?
02:58 Code Demo Setup
03:24 Debug With Overfitting In PyTorch
06:46 Outro

Resources:
PyTorch Lightning Trainer can help you overfit a small amount of data to debug your model: https://pytorch-lightning.readthedocs...
Overfitting: https://en.wikipedia.org/wiki/Overfit...

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