Lectures related to Data Augmentation: Deep Learning

Related lectures (32)

Covers sampling, transformations, acquisition models, aliasing problems, and examples in image processing.

Explores noise reduction techniques in electrical systems, covering concepts like Fourier transform, impedance matching, and dithering.