Probability and random variables are an integral part of computation in a graph-computing platform like PyTorch. Understanding probability and associated concepts are essential. This chapter covers probability distributions and implementation using PyTorch, and interpreting the results from tests.
In probability and statistics, a random variable is also known as a stochastic variable , whose outcome is dependent on a purely stochastic phenomenon, or random phenomenon. There are different types of probability distributions, including normal distribution, binomial ...
