keras,divide middle layer

divided_middle_layer_sample.py

import keras
from keras.layers import Input, Dense, Lambda, concatenate
from keras.models import Model
from keras.utils import plot_model

inputs = Input(shape=(10,))
x1_1 = Lambda(lambda x:x[:,:5],output_shape=(5,))(inputs)
x1_2 = Lambda(lambda x:x[:,5:],output_shape=(5,))(inputs)
x2 = concatenate([x1_1, x1_2])
x3 = Dense(10)(x2)
model = Model(inputs=inputs,outputs=x3)

plot_model(model,"model.png")