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      <title>岗位精选面试题</title>
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      <description>添加微信：julyedufu77，回复 “ 7 ”，领取最新升级版《名企AI面试100题》电子书！！ 11、当参数量 &amp;raquo; 样本量时候, 神经网络是如何预防过拟合? 正则化 2. Early Stopping 3. Dropout 4. 数据增强 过拟合即在训练误差很小,而泛化误差很大，神经网络时避免过拟合的方法： 正则化 正则化的思想十分简单明了。由于模</description>
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