|
Class Summary |
| Greedy |
A simple greedy strategy. |
| HybridStrategy |
A hybrid stragey allows a secondary training algorithm to be used. |
| RequiredImprovementStrategy |
The reset strategy will reset the weights if the neural network fails to improve by the specified amount over a number of cycles. |
| ResetStrategy |
The reset strategy will reset the weights if the neural network fails to fall
below a specified error by a specified number of cycles. |
| SmartLearningRate |
Attempt to automatically set the learning rate in a learning method that
supports a learning rate. |
| SmartMomentum |
Attempt to automatically set a momentum in a training algorithm that supports
momentum. |
| StopTrainingStrategy |
This strategy will indicate once training is no longer improving the neural
network by a specified amount, over a specified number of cycles. |