连接前馈网络和卷积神经网络的函数式API

import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, Dense, Conv2D, Flatten

input_layer = Input(shape=(input_shape,))

hidden_layer = Dense(units=64, activation='relu')(input_layer)

conv_layer = Conv2D(filters=32, kernel_size=(3,3), activation='relu')(input_layer)

merged_layer = tf.keras.layers.concatenate([hidden_layer, conv_layer])

output_layer = Dense(units=num_classes, activation='softmax')(merged_layer)

model = Model(inputs=[input_layer], outputs=[output_layer])