首页 开发技术 其它     /    深度学习-鸟类的细粒度分类:深度学习的简单尝试:鸟类的细粒度分类。有关更多详细信息,请参见https://www.kaggle.comtf0614880cd3f40d9919dfecb808b004a-源码

深度学习-鸟类的细粒度分类:深度学习的简单尝试:鸟类的细粒度分类。有关更多详细信息,请参见https://www.kaggle.comtf0614880cd3f40d9919dfecb808b004a-源码

上传者: weixin_42135753 | 上传时间:2023/9/14 6:24:34 | 文件大小:604KB | 文件类型:ZIP
深度学习-鸟类的细粒度分类:深度学习的简单尝试:鸟类的细粒度分类。有关更多详细信息,请参见https://www.kaggle.comtf0614880cd3f40d9919dfecb808b004a-源码
深度学习-鸟类的细粒度分类:深度学习的简单尝试:鸟类的细粒度分类。
有关更多详细信息,请参见https://www.kaggle.comtf0614880cd3f40d9919dfecb808b004a

文件下载

资源详情

[{"title":"(26个子文件604KB)深度学习-鸟类的细粒度分类:深度学习的简单尝试:鸟类的细粒度分类。有关更多详细信息,请参见https://www.kaggle.comtf0614880cd3f40d9919dfecb808b004a-源码","children":[{"title":"DeepLearning-Fine-grained-classification-of-birds-master","children":[{"title":".ipynb_checkpoints","children":[{"title":"test-checkpoint.ipynb <span style='color:#111;'>105.42KB</span>","children":null,"spread":false},{"title":"main-checkpoint.ipynb <span style='color:#111;'>20.47KB</span>","children":null,"spread":false}],"spread":true},{"title":"instructions.pdf <span style='color:#111;'>164.30KB</span>","children":null,"spread":false},{"title":"test.ipynb <span style='color:#111;'>105.42KB</span>","children":null,"spread":false},{"title":"docs.pdf <span style='color:#111;'>292.56KB</span>","children":null,"spread":false},{"title":"main.ipynb <span style='color:#111;'>20.47KB</span>","children":null,"spread":false},{"title":"README.txt <span style='color:#111;'>839B</span>","children":null,"spread":false},{"title":"runs","children":[{"title":"vgg16_adam_transforms_epoch50","children":[{"title":"events.out.tfevents.1588654414.behaviorcomputing-lab <span style='color:#111;'>232B</span>","children":null,"spread":false},{"title":"events.out.tfevents.1588654389.behaviorcomputing-lab <span style='color:#111;'>0B</span>","children":null,"spread":false},{"title":"events.out.tfevents.1588655248.behaviorcomputing-lab <span style='color:#111;'>4.72KB</span>","children":null,"spread":false},{"title":"events.out.tfevents.1588653533.behaviorcomputing-lab <span style='color:#111;'>0B</span>","children":null,"spread":false}],"spread":true},{"title":"exp2","children":[{"title":"events.out.tfevents.1588565399.behaviorcomputing-lab <span style='color:#111;'>25.83KB</span>","children":null,"spread":false}],"spread":true},{"title":"vgg16_adam_transforms3_epoch20","children":[{"title":"events.out.tfevents.1588660537.behaviorcomputing-lab <span style='color:#111;'>432B</span>","children":null,"spread":false},{"title":"events.out.tfevents.1588660196.behaviorcomputing-lab <span style='color:#111;'>232B</span>","children":null,"spread":false},{"title":"events.out.tfevents.1588661411.behaviorcomputing-lab <span style='color:#111;'>232B</span>","children":null,"spread":false},{"title":"events.out.tfevents.1588661042.behaviorcomputing-lab <span style='color:#111;'>232B</span>","children":null,"spread":false},{"title":"events.out.tfevents.1588662453.behaviorcomputing-lab <span style='color:#111;'>3.94KB</span>","children":null,"spread":false}],"spread":true},{"title":"May05_23-54-55_behaviorcomputing-labvgg16_pretrain_1","children":[{"title":"events.out.tfevents.1588694095.behaviorcomputing-lab <span style='color:#111;'>3.94KB</span>","children":null,"spread":false}],"spread":true},{"title":"vgg16_feature_extract_adam_1","children":[{"title":"events.out.tfevents.1588587643.behaviorcomputing-lab <span style='color:#111;'>19.56KB</span>","children":null,"spread":false}],"spread":true},{"title":"vgg16_feature_extract_adam_3","children":[{"title":"events.out.tfevents.1588602463.behaviorcomputing-lab <span style='color:#111;'>5.89KB</span>","children":null,"spread":false},{"title":"events.out.tfevents.1588600653.behaviorcomputing-lab <span style='color:#111;'>432B</span>","children":null,"spread":false},{"title":"events.out.tfevents.1588601412.behaviorcomputing-lab <span style='color:#111;'>432B</span>","children":null,"spread":false},{"title":"events.out.tfevents.1588601336.behaviorcomputing-lab <span style='color:#111;'>0B</span>","children":null,"spread":false},{"title":"events.out.tfevents.1588601381.behaviorcomputing-lab <span style='color:#111;'>0B</span>","children":null,"spread":false}],"spread":true},{"title":"vgg16_feature_extract_adam_2","children":[{"title":"events.out.tfevents.1588600614.behaviorcomputing-lab <span style='color:#111;'>0B</span>","children":null,"spread":false},{"title":"events.out.tfevents.1588597630.behaviorcomputing-lab <span style='color:#111;'>5.89KB</span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true}],"spread":true}]

评论信息

免责申明

【好快吧下载】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【好快吧下载】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【好快吧下载】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,8686821#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明