如何删除（弹出）Keras InceptionV3预训练模型的初始层？

Question

I am trying to use pre-trained InceptionV3 model. However, I want to remove initial five layers and add my custom layers. How can I do that? I tried model.layers.pop(0) , but that alone will not solve the problem.

Edit:

tf.keras does not help either as mentioned in the first answer:

Answer 1

model.layers.pop() doesn't work in the same way in tf.keras as it doesn in Keras . In tf.keras , model.layers is a view of the model. You can't remove the layers but what you can do is define the layer for which you want the output. For example,

base_model = InceptionV3(shape=shape, weights="imagenet", include_top=True)

# you don't want the last five layers:
base_model_output = base_model.layers[-6].output

# new layers
outputs = Dense(....)(base_model_output)
model = Model(base_model.input, outputs)

Answer 2

Since the first few layers starting from the input are changed, then the pretrained weights cannot be used. So, the architecture can be directly taken from here and modified accordingly instead of trying complex surgeries.

https://github.com/keras-team/keras-applications/blob/master/keras_applications/inception_v3.py