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Excuse me, I just don't understand why the derivative function of SoftMax is np.ones_like(x).... $$ $S(x_{i}) = \frac{e^{x_{i}}}{\sum{x_{i}}} $ $$
The text was updated successfully, but these errors were encountered:
我是看的 softmax函数及其导数 这篇文章,我对这里的向量化计算有些困惑... 如果可以的话,希望您能给一些相关解答或者资料... 万分感谢 🙂
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Excuse me, I just don't understand why the derivative function of SoftMax is np.ones_like(x)....
$S(x_{i}) = \frac{e^{x_{i}}}{\sum{x_{i}}} $
$$
$$
The text was updated successfully, but these errors were encountered: