Question: In python, write a function convolution2d(arr, filter) to implement 2-D convolution with no padding and no strides. The input arr is a 2-d numpy array

In python, write a function convolution2d(arr, filter) to implement 2-D convolution with no padding and no strides. The input arr is a 2-d numpy array with shape (m,n). The input filter is a 2-d numpy array with shape (k,k) where karr sub-matrix and the filter. (For the animation below, blue maps are inputs, and cyan maps are outputs. The filter is not plotted here.)

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