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Neural Networks are computational models inspired by the human brain, consisting of interconnected neurons that learn from data. They include various types such as single-layer and multi-layer networks, and utilize activation functions and learning types like supervised and unsupervised learning. Applications range from image recognition to medical diagnosis, though they require large datasets and can be time-consuming to train.

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