public static FullyConnLayer FullyConn(this LayerBase layer, int neuronCount)
{
var fullyConn = new FullyConnLayer(neuronCount);
layer.ConnectTo(fullyConn);
return(fullyConn);
}
public static TanhLayer Tanh(this LayerBase layer)
{
var tanh = new TanhLayer();
layer.ConnectTo(tanh);
return(tanh);
}
public static PoolLayer Pool(this LayerBase layer, int width, int height)
{
var pool = new PoolLayer(width, height);
layer.ConnectTo(pool);
return(pool);
}
public static MaxoutLayer Maxout(this LayerBase layer)
{
var maxout = new MaxoutLayer();
layer.ConnectTo(maxout);
return(maxout);
}
public static SigmoidLayer Sigmoid(this LayerBase layer)
{
var sigmoid = new SigmoidLayer();
layer.ConnectTo(sigmoid);
return(sigmoid);
}
public static SvmLayer Svm(this LayerBase layer, int classCount)
{
var svm = new SvmLayer(classCount);
layer.ConnectTo(svm);
return(svm);
}
public static SigmoidLayer <T> Sigmoid <T>(this LayerBase <T> layer) where T : struct, IEquatable <T>, IFormattable
{
var sigmoid = new SigmoidLayer <T>();
layer.ConnectTo(sigmoid);
return(sigmoid);
}
//public static SvmLayer<T> Svm<T>(this LayerBase<T> layer, int classCount) where T : struct, IEquatable<T>, IFormattable
//{
// var svm = new SvmLayer<T>(classCount);
// layer.ConnectTo(svm);
// return svm;
//}
public static RegressionLayer <T> Regression <T>(this LayerBase <T> layer) where T : struct, IEquatable <T>, IFormattable
{
var regression = new RegressionLayer <T>();
layer.ConnectTo(regression);
return(regression);
}
public static ReluLayer <T> Relu <T>(this LayerBase <T> layer) where T : struct, IEquatable <T>, IFormattable
{
var relu = new ReluLayer <T>();
layer.ConnectTo(relu);
return(relu);
}
public static ConvLayer <T> Conv <T>(this LayerBase <T> layer, int width, int height, int filterCount) where T : struct, IEquatable <T>, IFormattable
{
var conv = new ConvLayer <T>(width, height, filterCount);
layer.ConnectTo(conv);
return(conv);
}
public static SoftmaxLayer <T> Softmax <T>(this LayerBase <T> layer, int classCount) where T : struct, IEquatable <T>, IFormattable
{
var softMax = new SoftmaxLayer <T>(classCount);
layer.ConnectTo(softMax);
return(softMax);
}
public static FullyConnLayer <T> FullyConn <T>(this LayerBase <T> layer, int neuronCount) where T : struct, IEquatable <T>, IFormattable
{
var fullyConn = new FullyConnLayer <T>(neuronCount);
layer.ConnectTo(fullyConn);
return(fullyConn);
}
public static PoolLayer <T> Pool <T>(this LayerBase <T> layer, int width, int height) where T : struct, IEquatable <T>, IFormattable
{
var pool = new PoolLayer <T>(width, height);
layer.ConnectTo(pool);
return(pool);
}
public static TanhLayer <T> Tanh <T>(this LayerBase <T> layer) where T : struct, IEquatable <T>, IFormattable
{
var tanh = new TanhLayer <T>();
layer.ConnectTo(tanh);
return(tanh);
}
public static ConvLayer Conv(this LayerBase layer, int width, int height, int filterCount)
{
var conv = new ConvLayer(width, height, filterCount);
layer.ConnectTo(conv);
return(conv);
}
public static DropOutLayer DropOut(this LayerBase layer, double prob = 0.5)
{
var dropout = new DropOutLayer(prob);
layer.ConnectTo(dropout);
return(dropout);
}
public static SoftmaxLayer Softmax(this LayerBase layer, int classCount)
{
var softMax = new SoftmaxLayer(classCount);
layer.ConnectTo(softMax);
return(softMax);
}
public static ReluLayer Relu(this LayerBase layer)
{
var relu = new ReluLayer();
layer.ConnectTo(relu);
return(relu);
}
public static RegressionLayer Regression(this LayerBase layer)
{
var regression = new RegressionLayer();
layer.ConnectTo(regression);
return(regression);
}
public static DropoutLayer <T> DropoutLayer <T>(this LayerBase <T> layer, T dropProbability) where T : struct, IEquatable <T>, IFormattable
{
var pool = new DropoutLayer <T>(dropProbability);
layer.ConnectTo(pool);
return(pool);
}
