Question: Suppose in a convolutional layer, given an input image matrix x and a filter W , as follows: table [ [ x = ,

Suppose in a convolutional layer, given an input image matrix x and a filter W, as follows:
\table[[x=,,,,],[1,0,0,1,0],[0,1,1,0,1],[0,1,1,1,0],[1,0,1,0,0],[0,1,0,1,0]]
W=
-1
1
1
1
-1
1
1
1
-1
(a) Compute the output of this layer by convolutional operation using stride=1.(5pts)
(b) Compute the output after applying max-pooling layer (max-pooling size is 2 and stride=1) to the output you obtained from (a).(5pts)
 Suppose in a convolutional layer, given an input image matrix x

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