Generative Adversarial Networks are a type of Machine Learning model that consists of two neural networks: a generator and a discriminator. GANs are used to generate synthetic data that resembles real data by learning from training examples. They find applications in image generation, video synthesis, and data augmentation.
Data Science encompasses the collection, analysis, interpretation, and visualisation of data to extract valuable insights and make informed decisions. It combines statistical techniques, Machine…
