Diffusion_101

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Notes for self learning from course

Things to learn

• Math of Diffusion -Unet
• AdamW revision
• Cosine learning rate scheduler revision
• Markov Chain
• unimodal/mutli modal Gaussian
• VAE
• Latent variable models
• Variational lower bound
• Likelihood
• KL divergence
• Sampling Conditionally given Variable(target) of interest