Neural Networks are a class of computational models, loosely inspired by the biological neural networks that constitute animal brains. They are designed to recognize patterns and learn from data, forming the backbone of modern Machine Learning and Deep Learning advancements. These networks "learn" by adjusting connections between nodes, akin to neurons.