[D] If convolution kernels encode a strong prior on spatial locality, what prior do transposed convolutions encode?
Convolution layers are understood to encode an infinitely strong prior on spatial locality. (Ian Goodfellow’s Deep Learning book, summary here https://medium.com/inveterate-learner/deep-learning-book-chapter-9-convolutional-networks-45e43bfc718d). From my understanding, this means that conv kernels are good at capturing regional patterns (e.g. a point here, a stroke there, etc).
Do strided transpose convolutions encode a prior of some kind as well? (an uneducated guess from my end – a preference for texture and pattern at a larger scale?)