public PretrainMaster()
{
InitializeComponent();
Network network = NetworkData.network;
for (int i = 0; i < network.layers.Count; i++)
{
listBox1.Items.Add(network.layers[i].GetType().Name + " {" + network.layers[i].output_size[0] + ","
+ network.layers[i].output_size[1] + "," + network.layers[i].output_size[2] + "}");
}
test_arr = NetworkData.train.GetRandom(ref network).Key;
base_arr = test_arr;
testImg = ImageDataConverter.GetImage(test_arr.ConvertToRGD());
//pictureBox1.Image = testImg;
pretrain = new FullConPretrain(ref NetworkData.network);
}
