A computing system inspired by the biological neural networks found in animal brains. This framework supports various machine learning algorithms in processing complex data inputs. Unlike a singular algorithm, a neural network comprises multiple layers of interconnected nodes or “neurons” that simulate the way biological neurons signal to one another. These networks are capable of learning from data through adaptation, making them powerful tools for tasks ranging from image recognition to language processing. By adjusting connections based on input data, neural networks can identify patterns, make predictions, and solve problems in ways that mimic human cognition.
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