A generative adversarial network (GAN) is a pair of deep neural networks: a generator that creates new examples based on the training data provided and a discriminator that attempts to distinguish between genuine and simulated data. As both networks improve together, the examples created become increasingly realistic. This technology is promising for healthcare, because it can augment smaller datasets for training of traditional networks. At this hands-on workshop you'll learn to:
Upon completion, you'll be able to apply GANs to medical imaging use cases.
Experience with CNNs
Follow these steps prior to joining the training:
Master Instructor, NVIDIA Deep Learning Institute
Senior Solution Architect, NVIDIA
Deep Learning Institute