如何将具有两个发射输出的隐藏层建模为另外两个隐藏层？

import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, Dense, concatenate

# 假设原始模型有一个具有两个发射输出的隐藏层
input_layer = Input(shape=(input_dim,))
hidden_layer = Dense(hidden_units, activation='relu')(input_layer)
output_layer1 = Dense(output_dim1, activation='softmax', name='output1')(hidden_layer)
output_layer2 = Dense(output_dim2, activation='sigmoid', name='output2')(hidden_layer)

original_model = Model(inputs=input_layer, outputs=[output_layer1, output_layer2])

# 将其分解为两个独立的隐藏层
input_layer1 = Input(shape=(input_dim,))
hidden_layer1 = Dense(hidden_units, activation='relu')(input_layer1)
output_layer1 = Dense(output_dim1, activation='softmax', name='output1')(hidden_layer1)

input_layer2 = Input(shape=(input_dim,))
hidden_layer2 = Dense(hidden_units, activation='relu')(input_layer2)
output_layer2 = Dense(output_dim2, activation='sigmoid', name='output2')(hidden_layer2)

model1 = Model(inputs=input_layer1, outputs=output_layer1)
model2 = Model(inputs=input_layer2, outputs=output_layer2)

# 合并两个模型的输出（如果需要）
merged_output = concatenate([model1.output, model2.output])
merged_model = Model(inputs=[input_layer1, input_layer2], outputs=merged_output)