| Interface | Description |
|---|---|
| IterativeProcess |
The iterative process is a process which repeats some action in each
iteration until certain stop condition is met.
|
| StopCondition |
The stop condition for an iterative process.
|
| TrainingRule |
The basic interface for a training rule.
|
| Class | Description |
|---|---|
| Backpropagation |
The backpropagation algorithm with momentum.
|
| GradientDescent |
The base class for gradient descent algorithms.
|
| MaxErrorCondition |
The stop condition for a gradient descent algorithm.
|
| MaxIterationCondition |
The stop condition for an iterative process.
|
| MinErrorChangeCondition |
The stop condition for a gradient descent algorithm.
|
| OrCondition |
The OR condition is made up from one or more other conditions.
|
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