DCGAN：Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 簡述： 目前CNN已經在有監督學習中取得成功，本文提出的DCGANs希望能夠幫助彌補CNNs在監督學習的成功和非監督學習方面之間的差距。 問題or相關工作： 本文使用訓練有素的鑑別器進行圖像分類任務，顯示出與其他無
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相關文章
- 1. UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS
- 2. 論文閱讀——《Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks》
- 3. DCGAN:Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks論文
- 4. FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
- 5. 閱讀論文 GraphGAN: Graph Representation Learning with Generative Adversarial Nets
- 6. 深度卷積生成式對抗網絡，Deep Convolutional Generative Adversarial Nerworks
- 7. [解讀] Coupled Generative Adversarial Networks
- 8. Generative Adversarial Nets[CycleGAN]
- 9. Generative Adversarial Text to Image Synthesis
- 10. [cvpr2017]Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks