我的张量对象的gor错误没有属性编译

Question

这是基于keras张量流的模型

base_model = VGG16(include_top = False, input_shape=(32, 32, 3))
base_model.layers.pop()
base_model.outputs = [base_model.layers[-1].output]
last = base_model.outputs[0]
x = ZeroPadding2D(padding=(1, 1))(last)
x = Conv2D(filters=1024, kernel_size=(3, 3), activation='relu')(x)
x = GlobalAveragePooling2D()(x)
model = Dense(10, activation='softmax')(x) ## nb_classes=5

然后我尝试对其进行编译

model.compile(loss='categorical_crossentropy',
              optimizer=optimizer,
              metrics=['accuracy'])

然后出现以下错误

  

----> 6 model.compile（loss ='categorical_crossentropy'，         7 Optimizer = Optimizer，         8指标= ['准确性']）

     

AttributeError：“ Tensor”对象没有属性“ compile”