Skip to content
New issue

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

请问youtube_match_model.py为何不用原论文的softmax的方式呢? #23

Open
shuDaoNan9 opened this issue Jan 28, 2021 · 0 comments

Comments

@shuDaoNan9
Copy link

我看YouTubeNet原本的召回阶段使用的是softmax分类,是因为认为这个应该被理解为多分类问题,可以“同时”选择多个“下个”要播放的视频吗?
https://github.com/yangxudong/deeplearning/blob/master/youtube_match_model/youtube_match_model.py
loss = tf.nn.sigmoid_cross_entropy_with_logits(
labels=labels_one_hot,
logits=logits)

谢谢!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant