Short Introduction to Generative Adversarial Networks (GANs)

General Adversarial Network (GAN) are a generative modelling approach using deep learning neural networks such as CNN. There are two types of modelling techniques, i) Discriminative modelling and ii) generative modelling. Discriminative models are typical one that are used for classification in machine learning. They take input as features X (image, for image classification) and predict the output Y(probability of the image) for the given features. On the other hand, generative models outputs features X (image) given a random value.