Machine Learning, Artificial Intelligence, Technology, Programming, Data Science.
two steps- Forward Diffusion: We take a data sample, like an image, and iteratively add small amounts of Gaussian noise at each step. This slowly corrupts the image until it becomes unrecognizable noise. The model learns the pattern of noise added at each step. This is crucial for the reverse