Class  Description 

BinomialDistribution 
A binomial distribution, with 2 parameters: number of trials, and probability of success

ConstantDistribution 
Constant distribution: a "distribution" where all values are set to the specified constant

Distribution 
An abstract distribution.

Distributions 
Static methods for instantiating an nd4j distribution from a DL4J distribution configuration object.

GaussianDistribution  Deprecated
Use
NormalDistribution which is identical to this implementation 
LogNormalDistribution 
A lognormal distribution, with two parameters: mean and standard deviation.

NormalDistribution 
A normal (Gaussian) distribution, with two parameters: mean and standard deviation

OrthogonalDistribution 
Orthogonal distribution, with gain parameter.

TruncatedNormalDistribution 
A truncated normal distribution, with 2 parameters: mean and standard deviation
This distribution is a standard normal/Gaussian distribtion, however values are "truncated" in the sense that any values that fall outside the range [mean  2 * stdev, mean + 2 * stdev] are resampled. 
UniformDistribution 
A uniform distribution, with two parameters: lower and upper  i.e., U(lower,upper)

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