Redes neuronales

Redes neuronales are computer systems inspired by the human brain's structure, designed to recognize patterns and solve complex problems. They consist of interconnected layers of nodes or "neurons" that process information by passing signals to each other. During training, these networks learn to identify features and relationships within data, improving their accuracy over time. They are used in various applications like image recognition, language translation, and decision-making. Essentially, redes neuronales mimic the way our brains learn from experience, enabling computers to perform tasks that typically require human intelligence.