public static NeuralNetwork<Matrix> Create(IDataSet<Matrix, Vector> dataSet)
{
var count = 5;
var a = new ISingleLayer<Matrix, Matrix>[count];
for (var i = 0; i < count; ++i)
a[i] = new MatrixConvolutor(28, 28, 24, 24, new Tanh());
var b = new ISingleLayer<Matrix, Matrix>[count];
for (var i = 0; i < count; ++i)
b[i] = new MatrixSubsampler(24, 24, 12, 12, new Tanh());
var c = new ISingleLayer<Matrix, Matrix>[count];
for (var i = 0; i < count; ++i)
c[i] = new MatrixConvolutor(12, 12, 8, 8, new Tanh());
var d = new ISingleLayer<Matrix, Matrix>[count];
for (var i = 0; i < count; ++i)
d[i] = new MatrixSubsampler(8, 8, 4, 4, new Tanh());
var splitter = new Splitter<Matrix, Matrix>(a);
var applicator1 = new Applicator<Matrix, Matrix>(b);
var applicator2 = new Applicator<Matrix, Matrix>(c);
var merger = new MatrixMerger<Matrix>(d);
var classif = new FullyConnectedLayer(16 * count, 10, new Tanh());
var comp = CompositeLayer<Vector, Vector[], Vector>.Compose(splitter,
applicator1,
applicator2,
merger,
classif);
return new NeuralNetwork<Matrix>(comp);
}
public static NeuralNetwork<Matrix> CreateSemi(IDataSet<Matrix, Vector> dataSet)
{
var count = 5;
var a = new ISingleLayer<Matrix, Matrix>[count];
for (var i = 0; i < count; ++i)
a[i] = new MatrixConvolutor(28, 28, 24, 24, new Tanh());
var b = new ISingleLayer<Matrix, Matrix>[count];
for (var i = 0; i < count; ++i)
b[i] = new MatrixSubsampler(24, 24, 12, 12, new Tanh());
var splitter = new Splitter<Matrix, Matrix>(a);
var merger = new MatrixMerger<Matrix>(b);
var classif = new FullyConnectedLayer(144 * count, 50, new Tanh());
var classif2 = new FullyConnectedLayer(100, 10, new Tanh());
var comp = CompositeLayer<Vector, Vector[], Vector>.Compose(splitter,
merger,
classif,
classif2);
return new NeuralNetwork<Matrix>(comp);
}
public static NeuralNetwork<Matrix> CreateNorb(IDataSet<Matrix, Vector> dataSet)
{
var count = 12;
var branch = 5;
var a = new ISingleLayer<Matrix, Matrix>[count];
for (var i = 0; i < count; ++i)
a[i] = new MatrixConvolutor(96, 96, 92, 92, new Tanh());
var b = new ISingleLayer<Matrix, Matrix>[count];
for (var i = 0; i < count; ++i)
b[i] = new MatrixSubsampler(92, 92, 46, 46, new Tanh());
var c = new ISingleLayer<Matrix, Matrix>[count];
for (var i = 0; i < count; ++i)
c[i] = new MatrixSubsampler(46, 46, 23, 23, new Tanh());
var splitter = new Splitter<Matrix, Matrix>(a);
var applicator1 = new Applicator<Matrix, Matrix>(b);
var merger = new MatrixMerger<Matrix>(c);
var classif = new FullyConnectedLayer(23 * 23 * count, 5, new Tanh());
var comp = CompositeLayer<Vector, Vector[], Vector>.Compose(splitter,
applicator1,
merger,
classif
);
return new NeuralNetwork<Matrix>(comp);
}
