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

EfficientNet 3D experiment #9

Open
3 of 5 tasks
CJHJ opened this issue Sep 28, 2021 · 0 comments · May be fixed by #10
Open
3 of 5 tasks

EfficientNet 3D experiment #9

CJHJ opened this issue Sep 28, 2021 · 0 comments · May be fixed by #10
Assignees
Labels
exp New idea implementation

Comments

@CJHJ
Copy link
Collaborator

CJHJ commented Sep 28, 2021

アイディア概要

https://github.com/ZFTurbo/efficientnet_3D
のモデルを用いて、end-to-endの学習を行う。

共通のパラメーター
decay_steps=100000
decay_rate=0.96

  • 既存のレポにモデルを組み込む。
  • 一個のmodalityで学習可能にする。
  • (EXP-300) FLAIR, 256x256x64 voxel size, B0, batch_size=1
  • (EXP-301) FLAIR, 256x256x64 voxel size, B0, batch_size=2
  • ensembleモデルを学習可能にする。
@CJHJ CJHJ added the exp New idea implementation label Sep 28, 2021
@CJHJ CJHJ self-assigned this Sep 28, 2021
@CJHJ CJHJ linked a pull request Sep 28, 2021 that will close this issue
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
exp New idea implementation
Projects
None yet
Development

Successfully merging a pull request may close this issue.

1 participant