我正在使用python3和jupyter notebook
self.who += self.lr * numpy.dot
((output_errors * final_outputs * (1.0 - final_outputs)),numpy.transpose(hidden_outputs))
此代码显示
以下的错误 TypeError: unsupported operand type(s) for *: 'float' and 'builtin_function_or_method'
我试着查看这句话的后半部分
print (numpy.dot
((output_errors * final_outputs * (1.0 - final_outputs)),numpy.transpose(hidden_outputs)))
它显示正确的矩阵。
为什么会发生此错误？
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答案 0 :(得分：4)
你需要帮助python正确地破解这条线：
self.who += self.lr * numpy.dot
((output_errors * final_outputs * (1.0 - final_outputs)),numpy.transpose(hidden_outputs))
python＆＃34;打破界线＆＃34;在numpy.dot之后，因为它没有线索进一步提示
另一方面，当你print：
print (numpy.dot
((output_errors * final_outputs * (1.0 - final_outputs)),numpy.transpose(hidden_outputs)))
整个expressin在括号中，所以python知道完全读它。
<强>解决方案：
您可以将表达式放在括号中：
self.who += (self.lr * numpy.dot
((output_errors * final_outputs * (1.0 - final_outputs)),numpy.transpose(hidden_outputs)))
或者，为python添加一个指示以继续阅读
行self.who += self.lr * numpy.dot \
((output_errors * final_outputs * (1.0 - final_outputs)),numpy.transpose(hidden_outputs))
有关详细信息，请参阅this thread。