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                    • Digit Recognition: In this process, models are trained to identify handwritten digits. The model learns patterns
                   from a large dataset of images. This process demonstrates how Deep Learning can automate tasks requiring
                   pattern recognition.

















                    • Object Detection and Tracking: Deep learning is used in detecting and tracking pedestrians or vehicles in
                   real-time. Its application can be seen in autonomous vehicles for navigating streets and security systems for
                   monitoring intruders.


















                    • Generative AI: Deep learning is used in generating realistic content that includes images, text, and videos. You
                   may have seen its application in generating DeepFake videos and images.

















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