关于GCU、沐曦GPGPU、MLU、0卡V100资源4月7日恢复上架的公告>>> 关于共建具身智能开源数据集的倡议>>> 关于云脑任务中统一路径访问方式的公告>>> 关于将启智集群GPU资源迁移至智算集群的公告>>>
OpenModelZoo
/
EfficientV2-S
Not watched
354
0
Fork 0
Code
Releases 0 Wiki Activity
Issues 0 Pull Requests 0 Datasets Cloudbrain
You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.
1 Commit
1 Branch
379 KiB
18 Download
 
 
Branch: master
Branches Tags
${ item.name }
Create branch ${ searchTerm }
from 'master'
${ noResults }
zhouyifeng 9b0dfe3fd3 模王赛EfficientV2-S模型代码提交 2 years ago
code 模王赛EfficientV2-S模型代码提交 2 years ago
cifar10_train.log 模王赛EfficientV2-S模型代码提交 2 years ago
ckpt文件下载地址.txt 模王赛EfficientV2-S模型代码提交 2 years ago
eval_cifar10_result.png 模王赛EfficientV2-S模型代码提交 2 years ago
eval_imagenet_result.png 模王赛EfficientV2-S模型代码提交 2 years ago
imagenet_train.log 模王赛EfficientV2-S模型代码提交 2 years ago
精度复现说明.docx 模王赛EfficientV2-S模型代码提交 2 years ago
Delete task

Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.

cancel
confirm

EfficientV2-S模型的mindspore框架实现

Python Text

Contributors (1)
All

Please read the following content carefully:

Dear OpenI User

Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.

For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》

Agree and continue
Disagree, exit