Go Wiki! 영문 위키를 보자. The following function: \[\textrm{softmax}(k, x_1, \cdots, x_n) = \frac{e^{x_k}}{\sum_{i=1}^n e^{x_i}}\] is referred to as the softmax function. The reason is that the effect of exponentiating the values \(x1, \cdots, x_n\) is to exaggerate the differences between them. As a result, \(\textrm{softmax}(k, x_1, \cdots, x_n)\) will return a value close to … Softmax에 대한 직관적 이해 계속 읽기