我想制作一个具有多个输入的模型。所以，我尝试建立一个这样的模型。
# define two sets of inputs
inputA = Input(shape=(32,64,1))
inputB = Input(shape=(32,1024))
# CNN
x = layers.Conv2D(32, kernel_size = (3, 3), activation = 'relu')(inputA)
x = layers.Conv2D(32, (3,3), activation='relu')(x)
x = layers.MaxPooling2D(pool_size=(2,2))(x)
x = layers.Dropout(0.2)(x)
x = layers.Flatten()(x)
x = layers.Dense(500, activation = 'relu')(x)
x = layers.Dropout(0.5)(x)
x = layers.Dense(500, activation='relu')(x)
x = Model(inputs=inputA, outputs=x)
# DNN
y = layers.Flatten()(inputB)
y = Dense(64, activation="relu")(y)
y = Dense(250, activation="relu")(y)
y = Dense(500, activation="relu")(y)
y = Model(inputs=inputB, outputs=y)
# Combine the …