declaring the model architecture

model.cpp

FFN<NegativeLogLikelihood<>, RandomInitialization> model;

model.Add<Convolution<>>(1,  // Number of input activation maps.
                         6,  // Number of output activation maps.
                         5,  // Filter width.
                         5,  // Filter height.
                         1,  // Stride along width.
                         1,  // Stride along height.
                         0,  // Padding width.
                         0,  // Padding height.
                         28, // Input width.
                         28  // Input height.
);

model.Add<ReLULayer<>>();

model.Add<MaxPooling<>>(2, // Width of field.
                        2, // Height of field.
                        2, // Stride along width.
                        2, // Stride along height.
                        true);

model.Add<Convolution<>>(6, // Number of input activation maps.
                        16, // Number of output activation maps.
                         5, // Filter width.
                         5, // Filter height.
                         1, // Stride along width.
                         1, // Stride along height.
                         0, // Padding width.
                         0, // Padding height.
                        12, // Input width.
                        12  // Input height.
);

model.Add<ReLULayer<>>();
                         
model.Add<MaxPooling<>>(2, 2, 2, 2, true);
                         
model.Add<Linear<>>(16 * 4 * 4, 10);
                         
model.Add<LogSoftMax<>>();