Deep learning III - II Machine Learning Strategy 2 - Mismatched training and dev/test set
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Deep learning III - II Machine Learning Strategy 2 - Mismatched training and dev/test set 如何处理不相称的训练和测试集
深度学习需要大量的数据来供其训练学习
当你得到的金标准数据数量较少时（如10,000份），但你可以得到类似的大量数据数据（如200,000份），这时不应该将两部分数据shuffle然后随机分配；应该拿出5,000份金标准数据与那200,000份数据合并为train set，剩余的5,000份分成dev set 和 test set。
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