softmax二分类

在二分类问题中，Softmax回归退化为logistic回归。在二分类问题中，类标签y只能取两个值。Softmax回归模型可以通过将输出层的激活函数改为Sigmoid函数来实现二分类。Sigmoid函数可以将输入值映射到0到1之间的概率值，用于表示样本属于某个类别的概率。因此，Softmax回归可以用于解决二分类问题。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* [【机器学习笔记2.5】用Softmax回归做二分类（Tensorflow实现）](https://blog.csdn.net/u011362297/article/details/87541051)[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^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *3* [动手学深度学习(PyTorch实现)(二)--softmax与分类模型](https://blog.csdn.net/qq_42580947/article/details/104332809)[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^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
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