| Interface | Description |
|---|---|
| ActivationFunction | |
| FunctionApproximator | |
| NNTrainingScheme | |
| Numerizer |
A Numerizer understands how to convert an example from a particular data set
into a
Pair of lists of doubles. |
| Class | Description |
|---|---|
| BackPropLearning | |
| FeedForwardNeuralNetwork | |
| HardLimitActivationFunction | |
| IrisDataSetNumerizer | |
| IrisNNDataSet | |
| Layer |
Artificial Intelligence A Modern Approach (3rd Edition): page 729
Feed-forward networks are usually arranged in layers, such that each unit receives input only from units in the immediately preceding layer. |
| LayerSensitivity | |
| LogSigActivationFunction | |
| NNConfig |
A holder for config data for neural networks and possibly for other learning
systems.
|
| NNDataSet | |
| NNExample | |
| Perceptron | |
| PureLinearActivationFunction | |
| RabbitEyeDataSet |