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.
A convolutional neural network is a powerful deep learning model designed for processing and analysing visual data. It excels in tasks such as image…