softmax常见形式
时间: 2023-08-25 20:05:04 浏览: 47
回答: softmax常见形式是将输入的logits通过指数函数进行幂运算,然后再进行归一化处理,使得输出的值在0到1之间,并且所有输出值的和为1。这样可以将logits转换为概率分布,用于多分类问题的预测。\[3\]
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- *1* *2* [深度学习被你忽略的细节系列篇——Softmax、LogSumExp和Sigmoid](https://blog.csdn.net/u014665013/article/details/129300622)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [翻译: 3.4. Softmax 回归 pytorch](https://blog.csdn.net/zgpeace/article/details/123787046)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
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