如何在keras中使用模型制作自定义损失函数

from keras import backend as K
from keras.models import Model
from keras.layers import Input

def custom_loss_function(y_true, y_pred):
    return K.mean(K.abs(y_true - y_pred))

# 定义模型结构
input_layer = Input(shape=(input_shape,))
output_layer = Dense(units=num_classes, activation='softmax')(input_layer)
model = Model(inputs=input_layer, outputs=output_layer)

# 编译模型
model.compile(optimizer='adam', loss=custom_loss_function, metrics=['accuracy'])