GAN-overview reading note（2）Least Squares-GAN
昨天說了GAN記得基本概念，同時說了等效的數學模型，和需要求解的目標函數！ 附上鍊接： GAN-overview reading note（1）基礎概念 文章目錄 LSGAN介紹 loss函數 主要優勢 優勢一：穩定訓練 優勢二：改善生成質量 2019.4.10 ——子渙 LSGAN介紹 中文名：最小二乘GAN 英文全稱：Least Squares Generative Adversarial N
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相關文章
- 1. WCF Reading convenientily note
- 2. Reading Note: Panoptic Segmentation
- 3. Reading Note: MobileNets V2
- 4. Reading Note: Tiny SSD
- 5. CoreJava2 Reading Note(1:Stream)
- 6. Python Geospatial Development reading note(1)
- 7. CoreJava Reading Note(7:Exception,Assertions,Logging)
- 8. Reading Note: Neural Aesthetic Image Reviewer
- 9. [Paper Reading Note]Mask Scoring R-CNN
- 10. Reading Note: Pyramid Scene Parsing Network