Principles of Deep Learning
An overview of fundamental principles in deep learning, including backpropagation, gradient descent, and regularization techniques. (This blog is still a work in progress.)
Read MoreWhat's a Diffusion Models
Exploring the mechanism of diffusion models, modern generative AI techniques.
Read MoreAdvanced Diffusion Models
In the continuous-time generative paradigm, data can be perceived as a dynamic flux of particles, necessitating the application of advanced mathematical frameworks—such as Stochastic Differential Equations and Optimal Transport—for its precise elucidation and control.
Read MoreDiffusion Models: Probability Flow ODE and Probability Path
(This blog is still a work in progress.)
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