将代码转换为新的keras版本(函数式API)或如何连接2个模型

pip install keras

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

# 模型A
input_a = Input(shape=(input_shape,))
hidden_a = Dense(64, activation='relu')(input_a)
output_a = Dense(num_classes, activation='softmax')(hidden_a)
model_a = Model(inputs=input_a, outputs=output_a)

# 模型B
input_b = Input(shape=(input_shape,))
hidden_b = Dense(64, activation='relu')(input_b)
output_b = Dense(num_classes, activation='softmax')(hidden_b)
model_b = Model(inputs=input_b, outputs=output_b)

merged = concatenate([model_a.output, model_b.output])

output = Dense(num_classes, activation='softmax')(merged)
new_model = Model(inputs=[model_a.input, model_b.input], outputs=output)