Generative Adversal Networks in Machine Learning

GANs is one of the helpful techniques from Machine Learning related to photo editing. A Generative Adversarial Network also known as -- GAN is a group of Machine Learning. It was designed by Ian Goodfellow and his colleagues in 2014. Initially, they were put forward as a generative model for unsupervised learning but they are being extremely useful for semisupervised learning, supervised learning, and also for reinforcement learning. They are created with the help of two neural networks that compete with each other and have the ability to create new output by analyzing, capturing, and copying the variation from the given datasets.