Unsupervised Learning: Deep Auto-encoder
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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相关文章
- 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