public void ParameterlessConstructor_Activator()
{
var activator = ActivatorFactory.Build(typeof(Class));
for (var i = 0; i < trials; i++)
{
activator();
}
}
private static ILayer DeserializeStandardLayer(SerializedStandardLayer standardSerialized, int batchSize)
{
var weights = Matrix <double> .Build.DenseOfArray(standardSerialized.Weights);
var bias = Matrix <double> .Build.DenseOfColumnArrays(new double[][] { standardSerialized.Bias });
var activator = ActivatorFactory.Build(standardSerialized.ActivatorType);
switch (standardSerialized.GradientAdjustmentParameters.Type)
{
case GradientAdjustmentType.FixedLearningRate:
var learningRate = standardSerialized.GradientAdjustmentParameters as FixedLearningRateParameters;
var LRAdjustment = new FixedLRAdjustment(new FixedLearningRateParameters(learningRate.LearningRate / batchSize));
return(new BasicStandardLayer(weights, bias, batchSize, activator, learningRate, LRAdjustment));
case GradientAdjustmentType.Momentum:
var momentum = standardSerialized.GradientAdjustmentParameters as MomentumParameters;
var momentumAdjustment = new MomentumAdjustment(new MomentumParameters(momentum.LearningRate / batchSize, momentum.Momentum), weights, bias, batchSize);
return(new BasicStandardLayer(weights, bias, batchSize, activator, momentum, momentumAdjustment));
default:
throw new InvalidOperationException("Unknown Gradient Adjustment Parameter Type");
}
}