While doing transfer learning where my two problems are face-generation and car-generation is it likely that, if I use the weights of one problem as the initialization of the weights for the other problem, the model will converge to a local minima? In any problem is it better to train from scratch over transfer learning? (especially for GAN training?)
Originally asked by ashenoy on Stack Exchange (ai) (CC BY-SA 4.0).
