CNTK没有LeakyReLU属性

Question

在制作CNN这样的模型时：

# function to build model

def create_model(features):
    with C.layers.default_options(init=C.glorot_uniform(), activation=C.LeakyReLU):
            h = features
            h = C.layers.Convolution2D(filter_shape=(5,5), 
                                       num_filters=8, 
                                       strides=(2,2), 
                                       pad=True, name='first_conv')(h)
            h = C.layers.Convolution2D(filter_shape=(5,5), 
                                       num_filters=16, 
                                       strides=(2,2), 
                                       pad=True, name='second_conv')(h)
            r = C.layers.Dense(num_output_classes, activation=None, name='classify')(h)
            return r

# Create the model
z = create_model(x)

# Print the output shapes / parameters of different components
print("Output Shape of the first convolution layer:", z.first_conv.shape)
print("Bias value of the last dense layer:", z.classify.b.value)

AttributeError Traceback（最近调用last）in()1#创建模型---->2 z=create_model(x)3 4#打印不同组件的输出形状/参数5打印（“第一卷积层的输出形状：”,z.first_conv.Shape）

Answer 1

尝试c.leaky_relu:

>>> C.leaky_relu([[-1, -0.5, 0, 1, 2]]).eval()
array([[-0.01 , -0.005,  0.   ,  1.   ,  2.   ]], dtype=float32)