message: keras: minor fix example
diff: @@ -197,8 +197,8 @@ def cifar_cnn_concat():
  input_tensor2 = Input(batch_shape=[0, 3, 32, 32], dtype="float32")
  ot1 = cifar_cnn_sub(input_tensor1, 1)
  - ot2 = cifar_cnn_sub(input_tensor1, 2)
  - ot3 = cifar_cnn_sub(input_tensor1, 3)
  + ot2 = cifar_cnn_sub(input_tensor2, 2)
  + ot3 = cifar_cnn_sub(input_tensor2, 3)
  output_tensor = Concatenate(axis=1)([ot1, ot2, ot3])
  output_tensor = MaxPooling2D(pool_size=(2,2), strides=(2,2), padding="valid")(output_tensor)
  o1 = Conv2D(filters=64, kernel_size=(3,3), strides=(1,1), padding=(1,1), activation="relu")(output_tensor)
  