We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
No description provided.
The text was updated successfully, but these errors were encountered:
调参。 有几个方向可以参考。 增大模型表达能力:用pre-trained model、加卷积层等 防止过拟合:dropout、weight decay等 调优化器:lr decay、adam 调loss:focal loss、amsoftmax等 反正调参大法好就是了,19年cvpr有一篇叫调参的叫什么freebies来着,你可以查一下
Sorry, something went wrong.
我讲的是神经网络啊,就算不是神经网络也是调参就好了,炼丹嘛,太上老君都调了几千年了
No branches or pull requests
No description provided.
The text was updated successfully, but these errors were encountered: