graykode/distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
This is a tutorial for deep learning researchers to understand common probability distributions. It provides Python code examples and explanations for various distributions like Uniform, Bernoulli, Gaussian, and more. Researchers can use this to grasp the probabilistic foundations essential for designing and interpreting deep learning models.
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Use this if you are a deep learning researcher looking for practical Python-based explanations and code examples of fundamental probability distributions relevant to your field.
Not ideal if you are looking for a high-level conceptual overview without code, or advanced statistical modeling techniques beyond basic distribution probabilities.
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Oct 01, 2020
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