Deep learning-based systems are advanced computational models that utilize neural networks with multiple layers to automatically learn representations of data. These systems excel at tasks such as pattern recognition and decision-making, making them particularly effective in areas like image and speech recognition, natural language processing, and more. They rely on large amounts of labeled data for training and can generalize well to unseen examples after the training process.
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