public void GradientWrtParametersCheck(int inputWidth, int inputHeight, int inputDepth, int neuronCount)
{
// Create layer
var layer = new FullyConnLayer(neuronCount);
GradientCheckTools.GradienWrtParameterstCheck(inputWidth, inputHeight, inputDepth, layer);
}
public void GradientWrtInputCheck()
{
const int inputWidth = 20;
const int inputHeight = 20;
const int inputDepth = 2;
// Create layer
var layer = new TanhLayer();
GradientCheckTools.GradientCheck(layer, inputWidth, inputHeight, inputDepth);
}
public void GradientWrtInputCheck()
{
const int inputWidth = 20;
const int inputHeight = 20;
const int inputDepth = 2;
// Create layer
const int width = 2;
const int height = 2;
var layer = new PoolLayer(width, height)
{
Stride = 2
};
GradientCheckTools.GradientCheck(layer, inputWidth, inputHeight, inputDepth, 1e-6);
}
public void GradientWrtParametersCheck()
{
const int inputWidth = 10;
const int inputHeight = 10;
const int inputDepth = 2;
// Create layer
const int filterWidth = 3;
const int filterHeight = 3;
const int filterCount = 2;
var layer = new ConvLayer(filterWidth, filterHeight, filterCount)
{
Stride = 2
};
GradientCheckTools.GradienWrtParameterstCheck(inputWidth, inputHeight, inputDepth, layer);
}
public void GradientWrtInputCheck()
{
const int inputWidth = 30;
const int inputHeight = 30;
const int inputDepth = 2;
// Create layer
const int filterWidth = 3;
const int filterHeight = 3;
const int filterCount = 5;
var layer = new ConvLayer(filterWidth, filterHeight, filterCount)
{
Stride = 2
};
GradientCheckTools.GradientCheck(layer, inputWidth, inputHeight, inputDepth);
}
