Bernoulli Distribution
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Bernoulli Distribution
Bernoulli distribution is an independent probability function where a random variable can have only two possible values: either 1 for success or 0 for failure. This is similar to binomial distribution, but for a single yes/no test known as “Bernoulli trials.” Success and failure are measured relative to the expected or predicted outcome of any probability model.
The Bernoulli process lays the ground work for several deep learning probability distributions, including:
Binomial distribution Geometric distribution Negative binomial distribution
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