Deep learning models are a subset of machine learning methods based on artificial neural networks with multiple layers. These models learn intricate patterns from large datasets by processing data through these layers, enabling them to perform complex tasks such as image recognition, natural language processing, and predictive analytics with high accuracy. They are commonly used in areas like autonomous driving, medical diagnosis, and fraud detection.
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