Machine Learning.
(generator) goal: Produce products so that the cop cannot distinguish between the real and fake ones Cop (discriminator) goal: Detect anomalous products by using prior experience to classify real and fake products How GAN implementation works Now, enough with the analogies, right? Let’s restructure