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4. The sub-system shown in the following figure has a convolution unit (the convolution kernel is 13 ), followed by a ReLU, and then followed
4. The sub-system shown in the following figure has a convolution unit (the convolution kernel is 13 ), followed by a ReLU, and then followed by max-pooling unit. In the following, we assume that the convolution operation uses zero padding. Sub-system with convolution, ReLU, then followed by Max-Pooling unit. (1) Fill the empty elements (i.e., all the empty elements) in the vector Y. (2) Fill the empty elements (i.e., all the empty elements) in the vector Z. (3) Fill the empty elements (i.e., all the empty elements) in the vector V. (4) How many learnable parameters does this sub-system have? (5) Given the pictorial representation shown in in the above figure, what is the stride size of the convolution unit
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