so a few supervised based on also not just your discrimination ability but your ability to classify you're going to do much you're going to convert much faster to being effective at being a discriminator yeah so for example for the emne status set you want to look at an image of a handwritten digit and say whether it's a 0 a 1 or 2 and so on to get down to less than 1% accuracy required around 60,000 examples until maybe about 2014 or so in 2016 with this semi-supervised degan project tim was able to get below 1% error using only a