当我使用Keras2.2.4(因为它支持AttributeError: module 'tensorflow' has no attribute 'placeholder' 1.x)时,我得到了这个错误TensorFlow,尝试了TensorFlow 1.14和2.0.0,但是总是相同的错误AttributeError
是否有可能用来自Keras的现有激活来绘制我定义的激活函数?我试过这样做:from keras import backend as Kimport matplotlib.pyplot as pltreturn K.sigmoid(x) * x
plt.show()
但是上面的代码会产生一个错误:Attrib
当我运行下面的代码时,我得到了一个错误。:param model: the target model which should have the input tensor, the target tensor and the loss tensorself.gradient_tensor = K.gradients(self.loss_tensor, self.input_tensor)[0]
else:self.set_loss_function(loss_f