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Introduction to Seductive Telegram Captions: Lingerie Edition Coby Whitmore Femme Fatale Kim Novak Lookalike
Softmax函数是一个常用的激活函数，主要用于将输入张量的每个元素转换为 0 到 1 之间的概率值，且这些概率值的总和为 1。 Softmax一般用来作为 神经网络的最后一层 ，用于多分类问题的输出。 其本质是一种 激活函数 ，将一个数值向量归一化为一个概率分布向量，且各个概率之和为1。
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本文详细介绍了 softmax 函数。 理解 softmax 函数对于深度学习模型的设计和实现非常重要，它是连接神经网络输出和概率解释之间的关键桥梁。
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