Question

使用：

Keras 2.1.5
ipython 6.2.1
ipython_genutils 0.2.0
Python 3
Windows 7（x64） - 8GB内存 - 仅限CPU

我正在尝试在jupyter笔记本上创建一个神经网络，它工作正常，直到我决定编写自定义丢失函数。对于初学者，我决定编写一个简单的均方损失函数。损失函数是：

def msqeloss(y_true, y_pred):
     return K.sum(K.square(y_true-y_pred),0)

我将此函数输入到模型中：

...
model.add(Dropout(0.1))
model.add(Flatten())
model.add(Dense(120,activation='relu'))
model.add(Dropout(0.1))
model.add(Dense(3,activation='softmax'))
model.compile(optimizer='RMSprop',loss=msqeloss,metrics=['accuracy'])
...

完整堆栈错误出现了：

 AttributeError                            Traceback (most recent call last)
<ipython-input-10-86f0a38b9a14> in <module>()
     42         model.add(Dropout(0.1))
     43         model.add(Dense(3,activation='softmax'))
---> 44         model.compile(optimizer='RMSprop',loss=msqeloss,metrics=['accuracy'])
     45         csv_logger = CSVLogger('meanlog_loss_log'+str(index)+'.csv', append=True, separator=';')
     46         model.fit(Xtrain,one_hot_labels,batch_size=10,epochs=Epochs,validation_data=(Xtest,np_utils.to_categorical(ytest, num_classes=3)),callbacks=[csv_logger])

~\Anaconda3\lib\site-packages\keras\models.py in compile(self, optimizer, loss, metrics, sample_weight_mode, weighted_metrics, target_tensors, **kwargs)
    822                            weighted_metrics=weighted_metrics,
    823                            target_tensors=target_tensors,
--> 824                            **kwargs)
    825         self.optimizer = self.model.optimizer
    826         self.loss = self.model.loss

~\Anaconda3\lib\site-packages\keras\engine\training.py in compile(self, optimizer, loss, metrics, loss_weights, sample_weight_mode, weighted_metrics, target_tensors, **kwargs)
    828                 with K.name_scope(self.output_names[i] + '_loss'):
    829                     output_loss = weighted_loss(y_true, y_pred,
--> 830                                                 sample_weight, mask)
    831                 if len(self.outputs) > 1:
    832                     self.metrics_tensors.append(output_loss)

~\Anaconda3\lib\site-packages\keras\engine\training.py in weighted(y_true, y_pred, weights, mask)
    427         """
    428         # score_array has ndim >= 2
--> 429         score_array = fn(y_true, y_pred)
    430         if mask is not None:
    431             # Cast the mask to floatX to avoid float64 upcasting in Theano

<ipython-input-9-d8157a575c41> in msqeloss(y_true, y_pred)
      1 def msqeloss(y_true, y_pred):
----> 2     return K.sum(K.square(y_true-y_pred),0)

AttributeError: 'int' object has no attribute 'sum'

我对Keras很新，任何帮助都会受到高度赞赏。请帮我解决这个问题，因为它已经困扰了我2天了。提前谢谢。

无法在keras中定义自定义丢失函数

0 个答案: