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It could be very useful as a tool to avoid over-fitting though :)
by Diggsey 5y ago
It could be very useful as a tool to avoid over-fitting though :)
- shawnz 5y agoIsn't this basically how GANs already work?
- sillysaurusx 5y agoNot really. Well, sort of. If you have a small dataset, you can use data augmentation to "stretch" the dataset into a larger size. It's unknown whether data augmentation helps in general though (i.e. when you have lots of training data). An augmentation is color dropout (photo becomes greyscale), cutmix (splicing two different training examples together), blur, noise, yada yada.