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A dense layer wires every pixel to every neuron, with a separate weight for each connection, so on a real image you end up with millions of weights — and each one is glued to a single fixed pixel, which means an edge in the corner is invisible to the weights that only ever learned about the center. A convolution throws that out: you take one ...
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