One kind of deep learning technique that's usually utilized for visual data analysis is convolutional neural networks. CNNs interpret picture data using a grid-like structure that is modeled after an animal's visual cortex, in contrast to typical machine learning methods. When paired with other designs, they can be used for tasks like object detection, facial recognition, and natural language processing because of their ability to automatically and adaptively learn spatial hierarchies of feature
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