Neural Networks and Deep Learning: How Modern Models Learn

Neural networks are mathematical models inspired by the work of the human brain that are trained using a large amount of data and parameter optimization. Deep neural networks consist of multiple layers, each of which extracts progressively more complex features. This approach has found application in speech recognition, image processing, and natural language, allowing the creation of systems that learn from examples without explicitly programming each step.