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Convolution and pooling geometry
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The input shape is . A convolution uses filters of size , stride , padding , and one bias per filter. The convolution is followed by max pooling with stride and no padding. Compute the convolution shape, convolution parameter count, and pooled shape.
Reveal answer or reference solution
Each convolution dimension is
so the convolution shape is . The parameter count is
Pooling gives and adds no parameters.
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