在Keras中获取多输出模型的类

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

# 定义输入层
input_layer = Input(shape=(input_dim,))

# 定义共享的隐藏层
shared_layer = Dense(hidden_dim, activation='relu')(input_layer)

# 定义输出层1
output1 = Dense(output1_dim, activation='softmax')(shared_layer)

# 定义输出层2
output2 = Dense(output2_dim, activation='sigmoid')(shared_layer)

# 创建模型
model = Model(inputs=input_layer, outputs=[output1, output2])