nn.BatchNorm2d()

nn.BatchNorm2d()是PyTorch中的一个函数，用于对输入的四维数组进行批量标准化处理。它的功能是通过计算公式进行处理，将输入的数据进行标准化，以使其具有零均值和单位方差。具体来说，它会计算输入数据的均值和方差，并将数据减去均值后除以标准差。这有助于提高模型的稳定性和收敛速度。你可以在、和中找到更多关于nn.BatchNorm2d()函数的详细解释和用法。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *3* [详细解读nn.BatchNorm2d——批量标准化操作](https://blog.csdn.net/ChaoFeiLi/article/details/124847167)[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* [PyTorch】详解nn模块的BatchNorm2d()函数](https://blog.csdn.net/qq_45368632/article/details/124209629)[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%"]
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