Deep neural networks (DNNs) are artificial neural networks with multiple layers between the input and output layers. These layers perform complex operations to extract increasingly abstract features from the input data. DNNs are commonly used for tasks such as image recognition, natural language processing, and speech recognition, where they can learn intricate patterns and relationships within large datasets.
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