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How does an Artificial Neural Network work?
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An artificial neural network is a computational model that is inspired by the structure and function of biological neural networks. It is a collection of interconnected nodes that are able to learn from data. The nodes are connected by weighted links, which represent the strength of the connection between them. The nodes are also able to communicate with each other, allowing them to learn from each other. The nodes are able to learn from the data by adjusting their weights, which allows them to make predictions about the data.