cnn_cascade_lasagne.py 文件源码

def __build_12_net__(self):

        network = layers.InputLayer((None, 3, 12, 12), input_var=self.__input_var__)
        network = layers.dropout(network, p=0.1)
        network = layers.Conv2DLayer(network,num_filters=16,filter_size=(3,3),stride=1,nonlinearity=relu)
        network = layers.batch_norm(network)
        network = layers.MaxPool2DLayer(network, pool_size = (3,3),stride = 2)
        network = layers.DropoutLayer(network,p=0.3)        
        network = layers.DenseLayer(network,num_units = 16,nonlinearity = relu)
        network = layers.batch_norm(network)
        network = layers.DropoutLayer(network,p=0.3)
        network = layers.DenseLayer(network,num_units = 2, nonlinearity = softmax)
        return network