A guest lecture for COMP3710 Pattern Recognition and Analysis on autoencoders that learn in the frequency domain rather than purely in pixel space.
The lecture covers what a spectral representation buys you when reconstructing spatial detail, how the frequency-domain operators are constructed, and how to evaluate the resulting architectures against a conventional baseline.