I add junk data on purpose when training neural networks

Most folks clean their data spotless, but I mix in some random noise. It helps the model handle real-world messes better.

2 comments

2 Comments

wesley8089d ago

So you're basically training your models on a digital hoarder's garage? That's one way to make them tough I guess. Just hope they learn to ignore the junk and not start collecting it. Next you'll be feeding them blurry pictures on purpose to fix their vision. Where does it end?

anna_hall9d ago

Honestly that "real-world messes" part is key. Tbh a lot of real data has hidden patterns in the noise, not just pure randomness. Adding structured junk might teach the model to ignore actual useful signals.