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ml-recall

#efficiency

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Question 1: Short answer

mediumAI-checkedSegmentation

A convolution can be written as y=Wx\mathbf{y} = \mathbf{W}\mathbf{x}, where x\mathbf{x} is the flattened input and each row of W\mathbf{W} holds the kernel weights for one output position and zeros elsewhere. For a 32×3232 \times 32 single-channel input and a 3×33 \times 3 kernel (stride 1, no padding), W\mathbf{W} has 900×1024900 \times 1024 entries. What percentage of them are nonzero?

a percentage, 2 decimals (e.g. 1.25)