/// <summary>
/// 创建新图层
/// </summary>
/// <param name="neuronCount">
/// 图层中的神经元数量
/// </param>
/// <exception cref="ArgumentException">
/// 如果神经元计数不为正
/// </exception>
protected Layer(int neuronCount)
{
Helper.ValidatePositive(neuronCount, "neuronCount");
this.neurons = new TNeuron[neuronCount];
this.learningRateFunction = new LinearFunction(0.3d, 0.05d);
}
/// <summary>
/// 设置学习速率函数。
/// </summary>
/// <param name="learningRateFunction">
/// 学习率函数使用。
/// </param>
/// <exception cref="ArgumentNullException">
/// 如果<c> learningRateFunction </ c>是<c> null </ c>
/// </exception>
public void SetLearningRate(ILearningRateFunction learningRateFunction)
{
// 验证被委派
for (int i = 0; i < layers.Count; i++)
{
layers[i].SetLearningRate(learningRateFunction);
}
}
/// <summary>
/// Sets the learning rate function.
/// </summary>
/// <param name="learningRateFunction">
/// Learning rate function to use.
/// </param>
/// <exception cref="ArgumentNullException">
/// If <c>learningRateFunction</c> is <c>null</c>
/// </exception>
public void SetLearningRate(ILearningRateFunction learningRateFunction)
{
// Validation is delegated
for (int i = 0; i < layers.Count; i++)
{
layers[i].SetLearningRate(learningRateFunction);
}
}
/// <summary>
/// Deserialization Constructor
/// </summary>
/// <param name="info">
/// Serialization information to deserialize and obtain the data
/// </param>
/// <param name="context">
/// Serialization context to use
/// </param>
/// <exception cref="ArgumentNullException">
/// If <c>info</c> is <c>null</c>
/// </exception>
protected Layer(SerializationInfo info, StreamingContext context)
{
// Validate
Helper.ValidateNotNull(info, "info");
// Deserialize
int neuronCount = info.GetInt32("neuronCount");
this.neurons = new TNeuron[neuronCount];
this.initializer = info.GetValue("initializer", typeof(IInitializer)) as IInitializer;
this.learningRateFunction = info.GetValue("learningRateFunction", typeof(ILearningRateFunction)) as ILearningRateFunction;
}
/// <summary>
/// 设置学习速率函数。
/// </summary>
/// <param name="learningRateFunction">
/// 学习率函数使用。
/// </param>
/// <exception cref="System.ArgumentNullException">
/// 如果学习速率函数为null
/// </exception>
public void SetLearningRate(ILearningRateFunction learningRateFunction)
{
Helper.ValidateNotNull(learningRateFunction, "learningRateFunction");
this.learningRateFunction = learningRateFunction;
}
/// <summary>
/// Sets the learning rate function.
/// </summary>
/// <param name="learningRateFunction">
/// Learning rate function to use.
/// </param>
/// <exception cref="ArgumentNullException">
/// If <c>learningRateFunction</c> is <c>null</c>
/// </exception>
public void SetLearningRate(ILearningRateFunction learningRateFunction)
{
// Validation is delegated
for (int i = 0; i < layers.Count; i++)
{
layers[i].SetLearningRate(learningRateFunction);
}
}
