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

(BRN) Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models #12

Open
sarrrrry opened this issue Feb 1, 2021 · 0 comments
Assignees

Comments

@sarrrrry
Copy link
Contributor

sarrrrry commented Feb 1, 2021

一言でいうと

Batch Normalizationだとバッチごとのμとσを利用するが,
バッチごとに分布が異なると大きなズレが生じるため,
データ全体のμとσを使う.

詳しい事はちゃんと読んでいないが,
#10 でBRNが出てきて軽く知りたかったので,読むの途中でやめました.

論文リンク

https://arxiv.org/abs/1702.03275

著者/所属機関

Sergey Ioffe
Google Inc., [email protected]

(Batch Normalizationの著者の一人)

投稿日付(yyyy/MM/dd)

[v1] Fri, 10 Feb 2017 18:27:17 UTC

概要

新規性・差分

手法

結果

コメント

@sarrrrry sarrrrry self-assigned this Feb 1, 2021
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