[:,:,np.newaxis]

[:,:,np.newaxis]是一种用于给多维数组增加新度的操作。根据引用的说明，[:,:,np.newaxis]将会在前两个维度上保持原有的形状，然后在最后一个维度上增加一个新的维度。这种操作可以用于将二维数组转换为三维数组，例如将一个形状为(m,n)的二维数组转换为形状为(m,n,1)的三维数组。这种操作在进行一些特定的计算时非常有用，例如卷积运算或者某些机器学习算法的输入处理。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [Python-np.newaxis](https://blog.csdn.net/weixin_40446557/article/details/87938389)[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_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [【小记】np.newaxis的用法](https://blog.csdn.net/qq_31347869/article/details/89194410)[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_1"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]