跟着作者的make your own neural network而来,在美亚上找到作者的新作。看豆瓣还没有,就给搬了过来。希望更多的人读到。目前读到第56页,跟着代码一步步走来。self.optimiser = torch.optim.Adam(self.parameters()) Rashid, Tariq. Make Your First GAN With PyTorch (p. 56... (展开) ...
1. 关于 Make Your First GAN With PyTorch Make Your First GAN With PyTorch(个人译为:《使用 PyTorch 制作自己的第一个 GAN 网络》)是由Tariq Rashid编写的生成对抗网络GAN的入门书籍,可以在 Amazon 上购买英文电子版。 原书封面 本书作者Tariq Rashid拥有机器学习和数据挖掘硕士学位,目前活跃在伦敦技术领域,领...
Make Your First GAN With PyTorch python notebooks accompanying the book: Make Your First GAN With PyTorch blog: https://makeyourownneuralnetwork.blogspot.comAbout python notebooks accompanying the book Make Your Own GAN Resources Readme License GPL-2.0 license Activity Stars 0 stars Watchers...
Make Your First GAN With PyTorch python notebooks accompanying the book: Make Your First GAN With PyTorch blog: https://makeyourownneuralnetwork.blogspot.comAbout python notebooks accompanying the book Make Your Own GAN Resources Readme License GPL-2.0 license Activity Stars 364 stars Watcher...
We implemented ACGAN using the Pytorch [40] scientific computing framework. We used the FFHQ dataset to train the age-compensation branch, while we used the MT dataset to train the makeup transformation branch. We used a four-way NVIDIA TITAN V to train and infer the model. We used Adam ...
In a generative adversarial network (GAN) we have two neural networks that are pitted against each other in a zero-sum game, whereby the first network, the generator, is tasked with fooling the second network, the discriminator. The generator creates 'fake’ pieces of data, in this case, ...
If you like what you just read & want to continue your analytics learning, you cansubscribe to our emailsor like ourfacebook page Kunal Jain Kunal Jain is the Founder and CEO of Analytics Vidhya, one of the world's leading communities of Al professionals. With over 17 years of experience...
4.1.2 | Training details We implemented ACGAN using the Pytorch [40] scientific computing framework. We used the FFHQ dataset to train the age‐compensation branch, while we used the MT dataset to train the makeup transformation branch. We used a four‐way NVIDIA TITAN V to train and infer...
76 zergtant/pytorch-handbook pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行 10.1k Jupyter Notebook 01/17 77 CarGuo/gsy_github_app_flutter Flutter 超完整的开源项目,功能丰富,适合学习和日常使用。GSYGit...
Pytorch implementation of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors - CasualGANPapers/Make-A-Scene