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【论文笔记】Unsupervised Learning of Video Representations using LSTMs
时间 2020-05-10
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论文笔记
unsupervised
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lstms
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这篇文章是深度学习应用在视频分析领域的经典文章,也是Encoder-Decoder模型的经典文章,做者是多伦多大学深度学习开山鼻祖Hinton教授的徒子徒孙们,引用量很是高,是视频分析领域的必读文章。web 摘要翻译 咱们使用长短时记忆(Long Short Term Memory, LSTM)网络来学习视频序列的表征。咱们的模型使用LSTM编码器将输入序列映射到一个固定长度的表征向量。以后咱们用
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相关文章
1.
【论文笔记】Joint Unsupervised Learning of Deep Representations and Image Clusters
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ECCV2016【论文笔记】Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
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