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Understanding Diffusion Models in AI by suman Das is a document available to read on EtoBox.
What is Understanding Diffusion Models in AI about?
The document discusses diffusion models, focusing on the forward and reverse diffusion processes, which are essential for generating new data from learned models. It explains the training process using the Evidence Lower Bound (ELBO) and the parameterization of loss functions to optimize the model. Additionally, it introduces latent diffusion models and score-based generative models, highlighting their efficiency and the use of neural networks to approximate conditional probabilities.
- Author
- suman Das
- Language
- EN