Deep Learning – Introduction to Generative Adversarial Neural Networks (GANs) Vinod Sharma's Blog

Generative Adversarial Networks (GANs) – Combination of two neural networks which is very effective generative model network, works simply opposite to other. The other neural network models takes usually complex input and output is simple but in GANs its just opposite. GANs are very young family member of Deep Neural Network Architecture. GANs are class of unsupervised machine learning algorithm. As per the definition of word "Adversarial" from open internet "Involving two people or two sides who oppose each other i.e. adversary procedures.