Convolutional layers operate on small regions of the input image called receptive fields. Instead of connecting every pixel to every neuron, convolutional layers use filters that slide across the input image, capturing local patterns. This local connectivity allows the network to focus on specific regions of the image, enabling it to extract meaningful features more efficiently.
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