makemodel.cpp

network<sequential> net;
net << conv(64, 64, 5, 1, 6) << leaky_relu() // in: 64x64x1, out 6 chanels, kernel size: 5
	<< max_pool(60, 60, 6, 2) // in: 60x60x6, 2x2 pooling
	<< conv(30, 30, 5, 6, 9) << leaky_relu() // in: 30x30x6, out 9 channels, kernel size: 5
	<< max_pool(26, 26, 9, 2) // in:26x26x9, 2x2 pooling
	<< conv(13, 13, 6, 9, 12) << leaky_relu()// in: 13x13x9, out 12 channels, kernel size: 6
	<< fc(8*8*12, 10)
	<< softmax();
adam optimizer;
net.train<mse>(optimizer, x, y, BATCH_SIZE, NUM_BATCHES
	,onEnumerateMinibatch, onEnumerateEpoch);