net_designs.py 文件源码

def KDDClassifier():

    model = Sequential()

    model.add(Dense(output_dim=100, input_dim=10))
    model.add(Activation("relu"))
    model.add(Dense(output_dim=100, input_dim=100))
    model.add(Activation("relu"))
    model.add(Dense(output_dim=100, input_dim=100))
    model.add(Activation("relu"))
    model.add(Dense(output_dim=100, input_dim=100))
    model.add(Activation("relu"))
    model.add(Dense(output_dim=100, input_dim=100))
    model.add(Activation("relu"))
    model.add(Dense(output_dim=2, input_dim=100))
    model.add(Activation("softmax"))

    return model