private void Form4_2_Load(object sender, EventArgs e)
{
cnn = new Cnn();
#region LeNet-5 结构
/*
* cnn.AddCnnConvolutionLayer(6, 32, 32, 5, 5, 1, 1, CnnNode.ActivationFunctionTypes.Tanh,
* 2, 2, CnnPooling.PoolingTypes.MaxPooling, false);
* cnn.AddCnnConvolutionLayer(16, 5, 5, 1, 1, CnnNode.ActivationFunctionTypes.Tanh,
* 2, 2, CnnPooling.PoolingTypes.MeanPooling, false, false);
* cnn.AddCnnConvolutionLayer(120, 5, 5, 1, 1, CnnNode.ActivationFunctionTypes.Tanh,
* 0, 0, CnnPooling.PoolingTypes.None, false, false);
* cnn.AddCnnFullLayer(84, CnnNode.ActivationFunctionTypes.Tanh, false);
* cnn.AddCnnFullLayer(10, CnnNode.ActivationFunctionTypes.Tanh, false);
* //*/
#endregion
cnn.AddCnnConvolutionLayer(6, 254 * 2, 252, 5, 5, 1, 1, CnnNode.ActivationFunctionTypes.Tanh,
2, 2, CnnPooling.PoolingTypes.MaxPooling, false);
cnn.AddCnnConvolutionLayer(16, 5, 5, 1, 1, CnnNode.ActivationFunctionTypes.Tanh,
2, 2, CnnPooling.PoolingTypes.MeanPooling, false, false);
cnn.AddCnnConvolutionLayer(20, 5, 5, 1, 1, CnnNode.ActivationFunctionTypes.Tanh,
2, 2, CnnPooling.PoolingTypes.MeanPooling, false, false);
cnn.AddCnnFullLayer(84, CnnNode.ActivationFunctionTypes.Tanh, false);
cnn.AddCnnFullLayer(1, CnnNode.ActivationFunctionTypes.Tanh, false);
}
private void CreateBP()
{
cnn = new Cnn();
cnn.AddCnnConvolutionLayer(8, bpWidth, bpHeight, 20, 20, 5, 5, CnnNode.ActivationFunctionTypes.Tanh,
2, 2, CnnPooling.PoolingTypes.MaxPooling, false);
cnn.AddCnnConvolutionLayer(20, 10, 10, 3, 3, CnnNode.ActivationFunctionTypes.Tanh,
2, 2, CnnPooling.PoolingTypes.MeanPooling, false, false);
cnn.AddCnnConvolutionLayer(40, 5, 5, 1, 1, CnnNode.ActivationFunctionTypes.Tanh,
2, 2, CnnPooling.PoolingTypes.MeanPooling, false, false);
cnn.AddCnnConvolutionLayer(60, 5, 5, 1, 1, CnnNode.ActivationFunctionTypes.Tanh,
2, 2, CnnPooling.PoolingTypes.MeanPooling, false, false);
//cnn.AddCnnConvolutionLayer(80, 5, 5, 1, 1, 1, 2, 2, 1);
//cnn.AddCnnConvolutionLayer(100, 5, 5, 1, 1, 1, 2, 2, 1);
cnn.AddCnnFullLayer(300, CnnNode.ActivationFunctionTypes.Tanh, false);
cnn.AddCnnFullLayer(bpRectangleCount * 4, CnnNode.ActivationFunctionTypes.Tanh, false);
}
