在Keras中合并序列模型

from keras.models import Sequential, Model
from keras.layers import Dense, LSTM, concatenate

# 构建子模型1
model1 = Sequential()
model1.add(Dense(64, input_shape=(10,)))
model1.add(Dense(32))

# 构建子模型2
model2 = Sequential()
model2.add(LSTM(64, input_shape=(10, 1)))
model2.add(Dense(32))

# 使用Sequential模型进行合并
merged_model = Sequential()
merged_model.add(model1)
merged_model.add(model2)

# 使用Functional API进行合并
input1 = Input(shape=(10,))
input2 = Input(shape=(10, 1))
output1 = model1(input1)
output2 = model2(input2)
merged_output = concatenate([output1, output2])
merged_model = Model(inputs=[input1, input2], outputs=merged_output)