Python-使用Web界面训练和部署机器学习模型采用DockerPyTorch和Flask实现

上传者: 39841848 | 上传时间: 2021-06-17 17:49:47 | 文件大小: 19.61MB | 文件类型: ZIP
使用Web界面训练和部署机器学习模型 - 采用Docker,PyTorch和Flask实现

文件下载

资源详情

[{"title":"( 18 个子文件 19.61MB ) Python-使用Web界面训练和部署机器学习模型采用DockerPyTorch和Flask实现","children":[{"title":"ML-web-app-master","children":[{"title":"Dockerfile <span style='color:#111;'> 414B </span>","children":null,"spread":false},{"title":"app","children":[{"title":"app.py <span style='color:#111;'> 1.18KB </span>","children":null,"spread":false},{"title":"ml_model","children":[{"title":"old_models_weights","children":[{"title":"trained_weights_v1.pth <span style='color:#111;'> 10.58MB </span>","children":null,"spread":false}],"spread":true},{"title":"model.py <span style='color:#111;'> 1.71KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"model.cpython-35.pyc <span style='color:#111;'> 1.88KB </span>","children":null,"spread":false},{"title":"__init__.cpython-35.pyc <span style='color:#111;'> 108B </span>","children":null,"spread":false},{"title":"network.cpython-35.pyc <span style='color:#111;'> 1.48KB </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"trained_weights.pth <span style='color:#111;'> 10.58MB </span>","children":null,"spread":false},{"title":"network.py <span style='color:#111;'> 1.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"static","children":[{"title":"index.js <span style='color:#111;'> 3.36KB </span>","children":null,"spread":false},{"title":"style.css <span style='color:#111;'> 432B </span>","children":null,"spread":false}],"spread":true},{"title":"templates","children":[{"title":"home.html <span style='color:#111;'> 3.02KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"readme.md <span style='color:#111;'> 1.86KB </span>","children":null,"spread":false},{"title":"Dockerfile-jetson <span style='color:#111;'> 2.88KB </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 181B </span>","children":null,"spread":false},{"title":"Notebooks","children":[{"title":"training_cnn.py <span style='color:#111;'> 4.73KB </span>","children":null,"spread":false},{"title":"emnist_inference_cnn-2.ipynb <span style='color:#111;'> 14.32KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]

评论信息

  • xrinosvip :
    太不厚道了,抄袭别人的开源代码赚C币,好要那么多C币,开源链接:https://github.com/imadelh/ML-web-app
    2020-09-10

免责申明

【只为小站】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,【只为小站】 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 【只为小站】 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,zhiweidada#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