閱讀小結：Improved Techniques for training GANS
github地址：https://github.com/openai/improved-gan/git What:github 提出了對於GANs新的結構和訓練過程。主要focus在兩個應用：半監督學習 和 更好的圖像產生。ide 對於G，不要求一個和test data和像的模型，也不要求不使用label。函數 實驗中，D在半監督分類任務上達到了state-of-art的結果。學習 G在MNIS
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相關文章
- 1. Improved Techniques for Training GANs
- 2. 深度學習【40】Improved Techniques for Training GANs
- 3. 【閱讀筆記】Improved Training of Wasserstein GANs
- 4. 學習筆記：Improved Techniques for Training GANs理解
- 5. Improved Techniques for Grid Mapping With RaoBlackwellized Particle Filters論文閱讀（手寫的）
- 6. PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION
- 7. PROGRESSIVE GROWING OF GANs for IMPROVED QUALITY, STABILITY AND VARIATION
- 8. Reading Note: Progressive Growing of GANs for Improved Quality, Stability, and Variation
- 9. 【論文閱讀】Triple GANs論文閱讀
- 10. Unsupervised Data Augmentation For Consistency Training 論文閱讀