Computer Vision, Deep Learning, Generative Adversarial, Generator, Gans.
random noise data and an input data that is not labelled. Using these two inputs, it generates data that resembles the input data. Since all the inputs to the GAN are unlabelled, GAN is a type of unsupervised machine learning. GAN Model Training Internally GAN has two neural networks that compete