actually just released a really great paper on semi-supervised de Gans whether their goal isn't to classify its to make recognizable objects despite not having a lot of label data they were working off of deep minds big gun project and they showed that they can match the performance of began using only 10% I believe of the of the labels big gun was trained on the image net dataset which is about 1.2 million images and had all of them labelled this latest project from brain Zurich shows that they're able to get away with only having about