Keras优化模型作为图层添加的模型

Question

我想使用vgg16预训练模型对我的keras模型进行微调。我的summary（）看起来像这样

    Model: "sequential"
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
vgg16 (Model)                (None, 4, 4, 512)         14714688  
_________________________________________________________________
flatten (Flatten)            (None, 8192)              0         
_________________________________________________________________
dense (Dense)                (None, 256)               2097408   
_________________________________________________________________
dropout (Dropout)            (None, 256)               0         
_________________________________________________________________
dense_1 (Dense)              (None, 1)                 257       
=================================================================

是否可以访问添加的vgg16模型的各层以冻结它们？

使用

for layer in model.layers:

不显示vgg16的各个层，而仅显示对模型对象的引用