Deep Learning, Machine Learning, Self Driving Cars, TensorFlow, Unsupervised Learning.
looks real (standard concept of GANs). The refiner takes as input a synthetic data sample, and outputs a refined sample of the same dimension(s). The discriminator takes as input a data sample and classifies it as refined or real. The GAN architecture and training procedure is standard, but S+U