Machine Learning is a powerful branch of Artificial Intelligence (AI) that focuses on enabling computer systems to learn and improve from experience without being explicitly programmed. Machine Learning algorithms learn from historical data, adapt to new information, and continually refine their models to make accurate predictions and decisions, without human intervention. These algorithms can recognise patterns, classify data, or make predictions based on past examples.
Generative Adversarial Networks are a type of Machine Learning model that consists of two neural networks: a generator and a discriminator. GANs are used…