duyuanchao / adaptive-l2-regularization-pytorch Goto Github PK
View Code? Open in Web Editor NEWLicense: Apache License 2.0
License: Apache License 2.0
首先非常感谢你的复现,我在adaptive-l2-regularization-pytorch/projects/AdatpiveL2/中找到了这个函数,但是怎么部署到主函数中进行训练,可以指导以下是哪个py文件吗?我没有找到。
Hello! I would like to ask about your implementation for adaptive l2. By stated in the paper, the formula is
It seems like only the trainable scalar variables are normalized by going through hard sigmoid function; however, in your code, which is: l2_reg = l2_reg + hard_sigmoid(kernel_regularization_factor * model.adaptive_param[i].to("cpu") * params.norm(2).to("cpu")), all of elements including the amplitude A and the norm of weight are put in side the hard sigmoid. Could I ask about this disparity?
Hi Thanks for the work @duyuanchao
How can we use your repo with fast reid?
I saw there is a folder called adaptive L2 in projects
.
But can you tell me that if I want to train your model how can we du using fast reid?
您好,谢谢您的工作,想问一下在AdatpiveL2/meta_arch_wrapper.py文件中这部分adaptive_l2_loss(self.backbone) # TODO 需要传入参数修改 是还没有完成吗,还有您在readme中写的训练和测试代码会公开吗,谢谢!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.