I was rather commenting on the first part implying that training a neural network with the statistical distribution that comes out of a GAN or VAE does not add value beyond that generative model capabilities.
I do not agree on that because as I explained, with domain knowledge it is very much possible to shape the data generated for augmented learning - beyond the plain statistical variations of GAN and similar, which are obviously of very limited value in training.
I do not agree on that because as I explained, with domain knowledge it is very much possible to shape the data generated for augmented learning - beyond the plain statistical variations of GAN and similar, which are obviously of very limited value in training.