public override void Update(AdaptationStrategy strategy)
{
Biases.Add(strategy.BiasesUpdate(_biasesGradientAccumulator));
Weights.Add(strategy.WeightsUpdate(_weightsGradientAccumulator));
_biasesGradientAccumulator.Zero();
_weightsGradientAccumulator.Zero();
}
public void Update(AdaptationStrategy strategy)
{
foreach (TrainableComponent component in BackwardsTrainableComponentEnumeration)
{
component.Update(strategy);
}
}
public Trainer(ITrainable component, CostFunction cf, AdaptationStrategy strategy)
{
_component = component;
_costFunction = cf;
_strategy = strategy;
_costAccumulator = 0;
}
public override void Update(AdaptationStrategy strategy)
{
_component.Update(strategy);
}
public NetworkTrainer(LinearTwoLayerTestNetwork network, IEnumerable <VectorPair> trainingdata)
{
_network = network;
_trainingData = trainingdata;
_strategy = new GradientDescent(1.0, 1);
}
public abstract void Update(AdaptationStrategy strategy);
