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.
Decision Trees are Machine Learning models that use a branching structure to make decisions or predictions. By determining the most important features and creating…