|
Class Summary |
| CalculatePartialDerivative |
Class that is used to calculate the partial derivatives for the error for
individual layers of a neural network. |
| Propagation |
Implements basic functionality that is needed by each of the propagation
methods. |
| PropagationLevel |
Holds a level worth of information used by each of the propagation methods. |
| PropagationSynapse |
The back propagation training algorithms requires training data to be stored
for each of the synapses. |
| PropagationUtil |
Provides basic functionality for all of the propagation types. |