Neural Networks

Neural networks are a subset of machine learning models inspired by the structure and function of the human brain. They consist of interconnected layers of nodes, known as neurons, which process input data and learn to recognize patterns. The main characteristics of neural networks include their ability to learn from large datasets, adapt to new information, and perform complex tasks such as image recognition, natural language processing, and game playing. Common use cases for neural networks span various fields, including healthcare for disease diagnosis, finance for fraud detection, and autonomous vehicles for navigation and decision-making.