|
class | IG.Num.NeuralTrainingParameters |
| Contains Parameters that define neural network architecture and trainig procedure, together with achieved results after training such as various error norms. More...
|
|
class | IG.Num.NeuralTrainingLimits |
| Contains Parameters that define neural network architecture limits and trainig parameter limits. More...
|
|
class | IG.Num.NeuralTrainingTable |
| Contains Parameters that define neural network architecture and trainig limits, together with achieved results after training such as various error norms. More...
|
|
class | IG.Num.NeuralTrainingParameters |
| Contains Parameters that define neural network architecture and trainig procedure, together with achieved results after training such as various error norms. More...
|
|
class | IG.Num.NeuralTrainingParameters.ComparerErrorTrainingVector |
|
class | IG.Num.NeuralTrainingParameters.ComparerBase |
| Base comparer class (implementation of the IComparer<NeuralTrainingParameters> interface) for conmparing objects of type NeuralTrainingParameters More...
|
|
class | IG.Num.NeuralTrainingParameters.ComparerTrainingTime |
|
class | IG.Num.TestTrainingParametersComparers |
| Class for testing of Comparers for NeuralTrainingParameters. More...
|
|