如何使用函数式keras API在预先训练的非顺序模型中，在激活层之后插入dropout层？

from tensorflow.keras.layers import Dropout
from tensorflow.keras.models import Model

pretrained_model = ...  # 加载预先训练的非顺序模型

activation_layer_output = pretrained_model.get_layer('activation_layer_name').output

dropout_rate = 0.5  # 设置dropout层的丢弃率
dropout_layer_output = Dropout(dropout_rate)(activation_layer_output)

new_model = Model(inputs=pretrained_model.input, outputs=dropout_layer_output)