Biophysics
Neural networks are computational models inspired by the human brain, designed to recognize patterns and process information. They consist of interconnected nodes, or artificial neurons, that work together to analyze input data, learning from it through a process called training. This structure allows them to adapt and improve their performance over time, making them essential for various applications like image recognition, natural language processing, and decision-making systems.
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