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
我是新手小白,不太懂这里边的道理。 是不是说先用efficientnet提取特征,然后用SVM代替原来的Linear进行分类分类?这样子的精度会提高多少?
The text was updated successfully, but these errors were encountered:
你好,这个用SVM其实就是用来代替全连接层的。它的作用其实就是将CNNs提取的特征进行分类,按道理来说一个SVM的效果类似于两层FC的效果。
Sorry, something went wrong.
No branches or pull requests
我是新手小白,不太懂这里边的道理。
是不是说先用efficientnet提取特征,然后用SVM代替原来的Linear进行分类分类?这样子的精度会提高多少?
The text was updated successfully, but these errors were encountered: