/// <summary>
/// 前向传播,计算卷积结果
/// </summary>
public double[,] CalculatedConvolutionResult(List <double[, ]> value)
{
InputValue = value;
double[,] result = new double[ConvolutionKernelWidth, ConvolutionKernelHeight];
for (int i = 0; i < ConvolutionKernelWidth; i++)
{
for (int j = 0; j < ConvolutionKernelHeight; j++)
{
for (int k = 0; k < value.Count; k++)
{
result[i, j] += CalculatedConvolutionPointResult(value[k], i, j, k);//卷积
}
}
}
if (Standardization)
{
mean = CnnHelper.GetMean(result);
variance = CnnHelper.GetVariance(result, mean);
}
//归一化每个结果
for (int i = 0; i < ConvolutionKernelWidth; i++)
{
for (int j = 0; j < ConvolutionKernelHeight; j++)
{
if (Standardization)
{
//调用激活函数计算结果
double z = (result[i, j] - mean) / Math.Sqrt(variance);
//if (double.IsNaN(z))
// z = result[i, j] > 0 ? 1 : -1;
result[i, j] = ActivationFunction(z + OutputOffset);
}
else
{
result[i, j] = ActivationFunction(result[i, j] + OutputOffset);
}
}
}
//正则化
if (CnnHelper.RandomObj.NextDouble() < dropoutChance)
{
for (int i = 0; i < ConvolutionKernelWidth; i++)
{
for (int j = 0; j < ConvolutionKernelHeight; j++)
{
result[i, j] = 0;
}
}
dropoutState = true;
}
OutputValue = result;
return(result);
}
/// <summary>
/// 前向传播,计算结果
/// </summary>
public double[] CalculatedResult(double[] inputValue)
{
InputValue = inputValue;
double[] result = new double[OutputCount];
for (int i = 0; i < OutputCount; i++)
{
result[i] = CalculatedPointResult(inputValue, i);
//result[i] = CalculatedPointResult(value, i) + OutputOffset[i];
//调用激活函数计算结果
if (!Standardization)
{
result[i] = ActivationFunction(result[i] + OutputOffset[i]);
}
}
if (Standardization)
{
mean = CnnHelper.GetMean(result);
variance = CnnHelper.GetVariance(result, mean);
//归一化每个结果
for (int i = 0; i < OutputCount; i++)
{
//调用激活函数计算结果
double z = (result[i] - mean) / Math.Sqrt(variance);
result[i] = ActivationFunction(z + OutputOffset[i]);
}
}
//正则化
if (CnnHelper.RandomObj.NextDouble() < dropoutChance)
{
for (int i = 0; i < OutputCount; i++)
{
result[i] = 0;
}
dropoutState = true;
}
OutputValue = result;
return(result);
}