Unsupervised Learning: Deep Auto-encoder
Auto-encoder 它的思想是，找一個encoder，比如input一張image，經過encoder，output一個code，它的維度要遠比input小，那這個code就代表了這個input某種精簡的有效的representation。 但是現在問題是非監督的，我們可以找到一堆input但是不知道output是什麼，那我們可以先learn一個decoder，它可以input一個vecto
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相關文章
- 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練習)
- 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. 論文閱讀:Unsupervised Deep Learning by Neighbourhood Discovery