MMD-GAN/my_test_cifar.py/ Jump to 96 lines (88 sloc)4.89 KB RawBlame importnumpyasnp fromGeneralTools.misc_funimportFLAGS FLAGS.DEFAULT_IN=FLAGS.DEFAULT_IN+'cifar_NCHW/' # FLAGS.SPECTRAL_NORM_MODE = 'sn_paper' # default, sn_paper ...
MMD-GAN/run_exp.sh Go to file Copy path Cannot retrieve contributors at this time executable file43 lines (38 sloc)914 Bytes RawBlame #!/bin/bash BS=64 GPU_ID=0 MAX_ITER=1000 DATA_PATH=./data if[$1=='mnist'];then DATASET=mnist ...
针对可再生能源出力不确定性的准确表征问题,提出了一种基于改进的最大均值差异生成对抗网络(maximum mean discrepancy generative adversarial networks,MMD-GAN)的可再生能源随机场景生成方法.首先,阐述了GAN及MMD-GAN的基本原理,提出了MMD-GAN的改进方案,即在MMD-GAN的基础上改进鉴别器损失函数,并采用谱归一化和有界高...
MMD-GAN代码,python编写。。点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 SG-PC-PDA 2024-12-22 09:01:42 积分:1 AndroidTableView 2024-12-22 09:01:13 积分:1 Flash_Page 2024-12-22 09:01:01 积分:1 third_party_rust_unicode-ident 2024-12-22 08:54:43 积分:1 ...
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow.Youssef MrouehTruyen NguyenPMLRInternational Conference on Artificial Intelligence and Statistics
摘要:We investigate the training and performance of generative adversarial networks using the Maximum Mean Discrepancy (MMD) as critic, termed MMD GANs. As our main theoretical contribution, we clarify the situation with bias in GAN loss functions raised by recent work: we show that gradient estima...
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WAE-GAN和WAE-MMD的PyTorch实现 分类: Deep Learning 标签: wae-mmd , wae-gan , PyTorch , Python 好文要顶 关注我 收藏该文 微信分享 Picassooo 粉丝- 53 关注- 4 会员号:3720 +加关注 0 1 升级成为会员 « 上一篇: Unpooling反池化, Deconvolution反卷积,转置卷积deconv » 下一篇: ...