Neural Networks

The Art of Probability: Deriving Diffusion Model Theory

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The Art of Probability: Deriving Diffusion Model Theory

↑ ClickBlue Text Follow the Jishi Platform Author丨Fugtemypt@Zhihu (Authorized) Source丨https://zhuanlan.zhihu.com/p/680813516 Editor丨Jishi Platform Jishi Guide Clarifying the theoretical foundation behind the Diffusion Model. >> Join the Jishi CV technology group to stay at the forefront of computer vision Introduction About a year ago in the autumn, I heard friends mention that a tool called StableDiffusion, an … Read more

Understanding Key Technology DeepSeekMoE in DeepSeek-V3

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Understanding Key Technology DeepSeekMoE in DeepSeek-V3

1. What is Mixture of Experts (MoE)? In the field of deep learning, the improvement of model performance often relies on scaling up, but the demand for computational resources increases sharply. Maximizing model performance within a limited computational budget has become an important research direction. The Mixture of Experts (MoE) introduces sparse computation and dynamic … Read more