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          ??一站式輕松地調用各大LLM模型接口，支持GPT4、智譜、豆包、星火、月之暗面及文生圖、文生視頻
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                            ~~~
model.compile(optimizer='rmsprop',
              loss='binary_crossentropy',
              metrics=['accuracy'])
~~~
`rmsprop`、`binary_crossentropy`和`accuracy`都是 Keras 內置的一部分
*****
`optimizer`參數傳入一個**優化器類實例**來實現：
`optimizer=optimizers.RMSprop(lr=0.001)`
*****
通過向`loss`和`metrics`參數傳入函數對象來實現：使用自定義的損失和指標
~~~
from keras import losses
from keras import metrics
model.compile(optimizer=optimizers.RMSprop(lr=0.001),
              loss=losses.binary_crossentropy,
              metrics=[metrics.binary_accuracy])
~~~



                    
                
        
                
            
        
                
    
                
    
                
        
                
    
                

                







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