Artificial neural networks are computing systems inspired by the structure of the human brain. They consist of interconnected nodes, or neurons, that process information through weighted connections. Neural networks are a core technology behind deep learning and are used to identify patterns, make predictions, and process complex data.
Neural networks are widely applied in areas such as speech recognition, image classification, and natural language processing. While they can achieve high accuracy, they often require large datasets and significant computational power. Understanding how neural networks work is important for developing advanced AI-driven applications.
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