public void ActivationLayer_ReLu_GradientCheck()
{
const int fanIn = 5;
const int batchSize = 10;
var sut = new ActivationLayer(Activation.Relu);
GradientCheckTools.CheckLayer(sut, fanIn, 1, 1, batchSize, 1e-4f, new Random(21));
}
public void BatchNormalizationLayer_GradientCheck_BatchSize_10()
{
const int fanIn = 5;
const int batchSize = 10;
var sut = new BatchNormalizationLayer();
GradientCheckTools.CheckLayer(sut, 1, 1, fanIn, batchSize, 1e-4f, new Random(21));
}
public void DenseLayer_GradientCheck_BatchSize_10()
{
const int fanIn = 5;
const int batchSize = 10;
const int neuronCount = 3;
var sut = new DenseLayer(neuronCount, Activation.Undefined);
GradientCheckTools.CheckLayer(sut, fanIn, 1, 1, batchSize, 1e-4f, new Random(21));
}
public void Conv2DLayer_GradientCheck_BatchSize_11()
{
var inputWidth = 3;
var inputHeight = 3;
var inputDepth = 3;
var batchSize = 11;
var sut = new Conv2DLayer(2, 2, 2, 1, 0, 0, Activation.Undefined);
GradientCheckTools.CheckLayer(sut, inputWidth, inputHeight, inputDepth, batchSize, 1e-4f, new Random(21));
}
public void MaxPool2DLayer_GradientCheck_BatchSize_10()
{
const int inputWidth = 20;
const int inputHeight = 20;
const int inputDepth = 2;
const int batchSize = 11;
// Create layer
const int width = 2;
const int height = 2;
var sut = new MaxPool2DLayer(width, height);
GradientCheckTools.CheckLayer(sut, inputWidth, inputHeight, inputDepth, batchSize, 1e-4f, new Random(21));
}