Question: The convolution layer inside of a CNN is intrinsically an affine transformation: A vector is received as input and is multiplied with a matrix to

The convolution layer inside of a CNN is intrinsically an affine transformation:
A vector is received as input and is multiplied with a matrix
to produce an output (to which a bias vector is usually added before
passing the result through a nonlinearity). This operation can be represented
as y = Ax, in which A describes the affine transformation.

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