凯拉斯:如何加载CNN预先训练的权重(冻结网络)以在LSTM中使用它们？

from keras.models import Sequential
from keras.layers import LSTM, Dense
from keras.applications import VGG16

model = Sequential()
vgg_model = VGG16(weights='imagenet', include_top=False, input_shape=(224, 224, 3))

for layer in vgg_model.layers:
    layer.trainable = False

model.add(vgg_model)

model.add(LSTM(units=128))
model.add(Dense(units=10, activation='softmax'))

model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])
model.fit(X_train, y_train, epochs=10, batch_size=32)