Skip to content

皮肤癌图片分类和预测,kaggle数据集,基于pytorch,通过均衡采样,数据预处理,数据增强,densenet,adam优化器,交叉熵损失函数等技术。结果:precision0.9,recall0.85(仅训练4个周期)

Notifications You must be signed in to change notification settings

Ultraopxt/Image-classification-and-prediction-of-skin-cancer

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 

Repository files navigation

Image-classification-and-prediction-of-skin-cancer

皮肤癌图片分类和预测,kaggle数据集,基于pytorch,通过均衡采样,数据预处理,数据增强,densenet,adam优化器,交叉熵损失函数等技术。结果:precision0.9,recall0.85(仅训练4个周期)

About

皮肤癌图片分类和预测,kaggle数据集,基于pytorch,通过均衡采样,数据预处理,数据增强,densenet,adam优化器,交叉熵损失函数等技术。结果:precision0.9,recall0.85(仅训练4个周期)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published