A convolutional neural network (CNN) is a type of deep learning model specifically designed for processing structured grid data, such as images. CNNs utilize convolutional layers to automatically detect and learn spatial hierarchies in the data, making them highly effective for tasks like image recognition, object detection, and even video analysis. By mimicking the way the human visual system works, CNNs can extract features from input data while reducing dimensionality, leading to improved performance and efficiency in various applications.
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