Unsupervised Learning: Deep Auto-encoder

时间 2020-12-24

标签 Deep Auto-encoder Unsupervised Learning 李弘毅繁體版

原文原文链接

Auto-encoder 它的思想是，找一个encoder，比如input一张image，经过encoder，output一个code，它的维度要远比input小，那这个code就代表了这个input某种精简的有效的representation。但是现在问题是非监督的，我们可以找到一堆input但是不知道output是什么，那我们可以先learn一个decoder，它可以input一个vecto

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1. Deep learning：八(Sparse Autoencoder)
2. Unsupervised Subtyping of Cholangiocarcinoma Using a Deep Clustering Convolutional Autoencoder
3. Deep learning：二十四(stacked autoencoder练习)
4. Deep Temporal Clustering: Fully unsupervised learning of time-domain features
5. MOCKINGJAY: UNSUPERVISED SPEECH REPRESENTATION LEARNING WITH DEEP BIDIRECTIONAL TRANSFORMER ENCODERS
6. Query-Oriented Multi-Document Summarization via Unsupervised Deep Learning
7. UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS
8. Multi-Modal Image Registration with Unsupervised Deep Learning
9. M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning
10. 论文阅读:Unsupervised Deep Learning by Neighbourhood Discovery

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