A neural network is a sophisticated computational model inspired by the human brain’s structure and function. It consists of interconnected nodes, or neurons, organized into layers, including an input layer, one or more hidden layers, and an output layer. Neural networks excel at recognizing patterns and relationships in data, making them particularly effective for complex tasks such as image and speech recognition. By processing vast amounts of data, these models learn to make predictions and decisions, adapting their internal parameters through training. This capability positions neural networks as a cornerstone of modern machine learning and artificial intelligence applications.