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[P] The basic distribution probability Tutorial for Deep Learning Researchers

[P] The basic distribution probability Tutorial for Deep Learning Researchers

Hello there
I read [pattern recognition and machine learning, Bishop 2006] and summarize the probability distributions that are often used in deep learning in my Github Repository

Also I simply had implemented probability distributions with python numpy.

  1. Uniform distribution(continuous)
  2. Bernoulli distribution
  3. Binomial distribution
  4. Multi-Bernoulli distribution
  5. Multinomial distribution
  6. Beta distribution
  7. Dirichlet distribution
  8. Gamma distribution
  9. Exponential distribution
  10. Gaussian distribution
  11. Normal distribution
  12. Chi-squared distribution
  13. Student-t distribution

Please give issue if there are some wrong point Thanks 😀

https://github.com/graykode/distribution-is-all-you-need

https://i.redd.it/xuo9d3lda5l31.png

https://github.com/graykode/distribution-is-all-you-need

submitted by /u/nlkey2022
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.