【Paper Note】Convolutional Clustering for Unsupervised Learning 论文翻译
Title Address https://arxiv.org/abs/1511.06241 Abstract 标注数据以训练深度神经网络的任务可怕又无聊，需要数以百万计的标签来达到最先进的结果。通过应用无监督学习算法，可以减少深度神经网络模型对于标签数据的依赖。这篇论文提出了k-means算法的增强版本来达到训练一个深度神经网络的目的。算法通过使用相似的filter来减少参数量，我们称之为卷积k
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相关文章
- 1. 【Paper Note】Convolutional Clustering for Unsupervised Learning 论文理解
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