帮我写一个基于tensorflow的表情识别代码

我可以提供一个基于TensorFlow的表情识别代码的范例，具体如下：import tensorflow as tf# 读取训练数据
(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()# 将输入数据转换为float32
x_train, x_test = x_train.astype('float32'), x_test.astype('float32')# 标准化输入数据
x_train, x_test = x_train / 255., x_test / 255.# 创建卷积神经网络
model = tf.keras.models.Sequential([
tf.keras.layers.Flatten(input_shape=(28, 28)),
tf.keras.layers.Dense(128, activation='relu'),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Dense(10, activation='softmax')
])# 编译模型
model.compile(optimizer='adam',
loss='sparse_categorical_crossentropy',
metrics=['accuracy'])# 训练模型
model.fit(x_train, y_train, epochs=10)# 评估模型
model.evaluate(x_test, y_test)