Character-level Convolutional Networks for Text Classification之每日一篇
這篇文章發表於2016.04，作者還發表了一篇Text Unders tanding from Scratch的論文，有興趣的可以去看看。 字符級的卷積網絡是一個有效的方法。 模型如何很好地進行比較，這取決於許多因素，比如數據集的大小，文本是否是組織化的，以及對字母表的選擇。 1：Character quantization 構建字母表，包含70種字符。 The alphabet used in
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相關文章
- 1. Very Deep Convolutional Networks for Text Classification之每日一篇
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