生成对抗性神经网络 !!代码地址!! 论文 作者: Lorna 邮箱: shiyipaisizuo@gmail.com 英文原版 配置需求 显卡: A TiTAN V 或更高...
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生成对抗性神经网络 !!代码地址!! 论文 作者: Lorna 邮箱: shiyipaisizuo@gmail.com 英文原版 配置需求 显卡: A TiTAN V 或更高...
Author:Shiyipaisizuo CODE TensorFlow-MNIST 这是TensorFlow v2.0的MNIST数据集的分类,其中不仅包括公共MNIST数...
Wasserstein GAN 在GAN的相关研究如火如荼甚至可以说是泛滥的今天,一篇新鲜出炉的arXiv论文《Wasserstein GAN》却在Reddit的Machin...
Improved Training of Wasserstein GANs翻译 上 code 4 Gradient penalty 4梯度罚款 . Our new objec...
Improved Training of Wasserstein GANs翻译 下 code Improved Training of Wasserstein GANs 改进...
[Paper] [Code] GAN背后的思想其实非常朴素和直观,就是生成器和判别器两个极大极小的博弈。下面我们进一步了解该理论背后的证明与推导。 一、基本概念 1.1 符号...
据悉,Ian Goodfellow 已离开 Google,并选择了苹果!大家已经可以从其本人 LinkedIn 或 Twitter上看到最新的状态了。 根据他个...
RePr: Improved Training of Convolutional Filters翻译 下 RePr: Improved Training of Convolu...
RePr: Improved Training of Convolutional Filters翻译 上 6. Ablation study 6.消融研究 Compariso...
Adversarial Regularizers in Inverse Problems 逆问题中的对偶正则化 文章引用于 http://tongtianta.site/pa...
Taskonomy: Disentangling Task Transfer Learning翻译 上 Taskonomy: Disentangling Task Trans...
Taskonomy: Disentangling Task Transfer Learning翻译 下 4. Experiments 4.实验 order, from whi...
Going Deeper With Convolutions翻译 上 code The network was designed with computational effi...
Going Deeper With Convolutions翻译 下 code Going Deeper with Convolutions 越来越深入的卷积 论文:http...
Very Deep Convolutional Networks for Large-Scale Image Recognition翻译 上 code 4 CLASSIFIC...
Very Deep Convolutional Networks for Large-Scale Image Recognition翻译 下 code Very Deep C...
Generative Adversarial Nets翻译 下 code Generative Adversarial Nets 生成性对抗网络 论文:https://arx...
Generative Adversarial Nets翻译 上 code 4.2 Convergence of Algorithm 1 4.2算法1的收敛性 is updat...
Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies翻译 上](https:...
Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies翻译 下](https:...