DeepLearning - 신경망 결합 concatenate

inputA = Input(shape=(2,))

x = Dense(4,activation='relu')(inputA)

x = Dense(2, activation='relu')(x)

x = Model(inputs=inputA,outputs=x)

inputB = Input(shape=(4,))

y = Dense(4, activation='relu',)(inputB)

y = Dense(2, activation='relu')(y)

y = Dense(2, activation='relu')(y)

y = Model(inputs=inputB,outputs=y)

from tensorflow.keras.utils import plot_model

x.summary()

y.summary()

#inputA , inputB 합치기 concat 이용

 

import tensorflow as tf

result = concatenate([x.output,y.output])

z = Dense(2,activation='relu')(result)

z = Dense(1,activation='linear')(z)

model = Model(inputs=[x.input, y.input], outputs=z)

model.summary()