Keras -如果我想接受三个或更多不同数据大小和类型的输入，这个模型架构是正确的吗？

from keras.models import Model
from keras.layers import Input, Dense

# 定义三个输入
input1 = Input(shape=(100,), name='input1')
input2 = Input(shape=(200,), name='input2')
input3 = Input(shape=(300,), name='input3')

# 构建模型的其余部分
hidden1 = Dense(64, activation='relu')(input1)
hidden2 = Dense(64, activation='relu')(input2)
hidden3 = Dense(64, activation='relu')(input3)
merged = concatenate([hidden1, hidden2, hidden3])
output = Dense(10, activation='softmax')(merged)

# 创建模型
model = Model(inputs=[input1, input2, input3], outputs=output)

# 打印模型结构
model.summary()