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.
One-Shot learning is an AI approach that enables models to learn from only one or a few examples. This approach is advantageous in tasks…