NormalInitializer (Deep Java Library 0.20.0 API specification)

java.lang.Object
- ai.djl.training.initializer.NormalInitializer

All Implemented Interfaces:

Initializer
```
public class NormalInitializer
extends java.lang.Object
implements Initializer
```
NormalInitializer initializes weights with random values sampled from a normal distribution with a mean of zero and standard deviation of sigma. Default standard deviation is 0.01.

Field Summary
- Fields inherited from interface ai.djl.training.initializer.Initializer
  ONES, ZEROS

Constructor Summary

Constructors
Constructor	Description
`NormalInitializer()`	Creates an instance of `NormalInitializer` with a default sigma of 0.01.
`NormalInitializer(float sigma)`	Creates a Normal initializer.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`NDArray`	`initialize(NDManager manager, Shape shape, DataType dataType)`	Initializes a single `NDArray`.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - NormalInitializer
```
public NormalInitializer()
```
    Creates an instance of NormalInitializer with a default sigma of 0.01.
  - NormalInitializer
```
public NormalInitializer(float sigma)
```
    Creates a Normal initializer.
    
    Parameters:
    
    sigma - the standard deviation of the normal distribution
- Method Detail
  - initialize
```
public NDArray initialize(NDManager manager,
                          Shape shape,
                          DataType dataType)
```
    Initializes a single NDArray.
    
    Specified by:
    
    initialize in interface Initializer
    
    Parameters:
    
    manager - the NDManager to create the new NDArray in
    
    shape - the Shape for the new NDArray
    
    dataType - the DataType for the new NDArray
    
    Returns:
    
    the NDArray initialized with the manager and shape