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🔍 Debug ML With Overfitting: PyTorch Lightning (Tutorial + Example)
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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!
Hope you'll enjoy it!
🔗 Socials:
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:
✅ 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!
Hope you'll enjoy it!
🔗 Socials:
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:
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🔍 Debug ML With Overfitting: PyTorch Lightning (Tutorial + Example)
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