I've been interested in some work where people have used GANs to increase the amount of data in use (for training a classification model for example). Are GANs in a place where it is realistic enough to do so and can we minimise effectively propagating the error from the GAN into the new model?
How do they get the deer to cross at the signs? Or to read this tiny ad?
SKIP - a book about connecting industrious people with elderly land owners