NormalDistribution (deeplearning4j-nn 1.0.0-M2.1 API)

java.lang.Object
- org.deeplearning4j.nn.conf.distribution.Distribution
- - org.deeplearning4j.nn.conf.distribution.NormalDistribution

All Implemented Interfaces:

Serializable, Cloneable

Direct Known Subclasses:

GaussianDistribution
```
public class NormalDistribution
extends Distribution
```
A normal (Gaussian) distribution, with two parameters: mean and standard deviation

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor Description

NormalDistribution(double mean, double std)
Create a normal distribution with the given mean and std

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`boolean`	`equals(Object obj)`
`double`	`getMean()`
`double`	`getStd()`
`int`	`hashCode()`
`void`	`setMean(double mean)`
`void`	`setStd(double std)`
`String`	`toString()`

Methods inherited from class org.deeplearning4j.nn.conf.distribution.Distribution
clone

Methods inherited from class java.lang.Object
finalize, getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - NormalDistribution
```
public NormalDistribution(double mean,
                          double std)
```
    Create a normal distribution with the given mean and std
    
    Parameters:
    
    mean - the mean
    
    std - the standard deviation
- Method Detail
  - getMean
```
public double getMean()
```
  - setMean
```
public void setMean(double mean)
```
  - getStd
```
public double getStd()
```
  - setStd
```
public void setStd(double std)
```
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - toString
```
public String toString()
```
    Overrides:
    
    toString in class Object