neural network models

Neural network models are computational systems inspired by the human brain's structure, designed to recognize patterns and make decisions. They consist of layers of interconnected nodes (neurons) that process information by passing signals, transforming data step-by-step. Each connection has a weight that adjusts as the model learns from examples, allowing the network to improve its accuracy. Neural networks are used in tasks like image recognition, language translation, and speech understanding, enabling computers to interpret complex data and solve problems that typically require human cognitive abilities.