Neural Network Models are computational frameworks inspired by the human brain, designed to recognize patterns and make decisions based on data. They consist of layers of interconnected nodes or 'neurons' that process input data through weighted connections to produce an output, often used in tasks like image recognition, natural language processing, and predictive analytics.