常见概率分布总结

前言

理解概深度学习中常见的概率分布。

不同分布之间的关系概览

均匀分布（Uniform distribution - continuous)

伯努利分布 (Bernoulli distribution - discrete)

二项分布 (Binomial distribution - discrete)

范畴分布 (Multi-Bernoulli distribution, Categorical distribution - discrete)

多项式分布 (Multinomial distribution - discrete)

Beta分布 (Bete distribution - continuous)

https://en.wikipedia.org/wiki/Beta_distribution

狄利克雷分布 (Dirichlet distribution - continuous)

https://en.wikipedia.org/wiki/Dirichlet_distribution

Gamma分布 (Gamma distribution - continuous)

https://en.wikipedia.org/wiki/Gamma_distribution

指数分布 (Exponential distribution - continuous)

高斯分布 (Gaussian distribution - continuous)

卡方分布 (Chi-squared distribution - distinuous)

学生t-分布 (Student-t distribution - continuous)

Reference

• Distribution is all you need：这里有12种做ML不可不知的分布
• Distribution is all your need