如何使用我自己的权重初始化Keras序列模型中的第二个conv层？

from keras.models import Sequential
from keras.layers import Conv2D
from keras import initializers

model = Sequential()

model.add(Conv2D(filters=32, kernel_size=(3, 3), activation='relu', input_shape=(input_shape)))

model.add(Conv2D(filters=64, kernel_size=(3, 3), activation='relu', kernel_initializer=initializers.RandomNormal(mean=0.0, stddev=0.05)))

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