Ever wondered what the 27th letter in the English alphabet might look like? Or how your appearance would be twenty years from now? Or perhaps how that super-grumpy professor of yours might look with a big, wide smile on his face?
Thanks to machine learning, all this is not only possible, but relatively easy to do with the inference of a powerful neural network (rather than hours spent on Photoshop). The neural networks that make this possible are termed adversarial networks. Often described as one of the coolest concepts in machine learning, they are actually a set of more than one network (usually two) which are continually competing with each other (hence, adversarially), producing some interesting results along the way.
Continue reading StyleGAN: Use machine learning to generate and customize realistic images