| Interface | Description |
|---|---|
| Randomizer |
Defines the interface for a class that is capable of randomizing the weights
and bias values of a neural network.
|
| Class | Description |
|---|---|
| BasicRandomizer |
Provides basic functionality that most randomizers will need.
|
| ConsistentRandomizer |
A randomizer that takes a seed and will always produce consistent results.
|
| ConstRandomizer |
A randomizer that will create always set the random number to a const value,
used mainly for testing.
|
| Distort |
A randomizer that distorts what is already present in the neural network.
|
| FanInRandomizer |
A randomizer that attempts to create starting weight values that are
conducive to propagation training.
|
| GaussianRandomizer |
Generally, you will not want to use this randomizer as a pure neural network
randomizer.
|
| NguyenWidrowRandomizer |
Implementation of Nguyen-Widrow weight initialization.
|
| RandomChoice |
Generate random choices unevenly.
|
| RangeRandomizer |
A randomizer that will create random weight and bias values that are between
a specified range.
|
| XaiverRandomizer |