训练集batch_size

训练集的batch_size是指在训练神经网络时，每次输入神经网络的样本数量。这个参数可以根据具体需求进行调整。在引用中提到了mnist数据集选择了一个batch_size大小为100的训练样本。所以，训练集的batch_size为100。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* [深度学习 | 三个概念：Epoch, Batch, Iteration](https://blog.csdn.net/weixin_45798684/article/details/105549286)[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%"]
- *3* [keras 两种训练模型方式详解fit和fit_generator(节省内存)](https://blog.csdn.net/liming89/article/details/110507137)[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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