- MNIST数据集卷积神经网络实验.zip - 数据可视化、训练文件、测试文件 - 改超参数即可训练,开袋即食

上传者: 47691066 | 上传时间: 2022-04-23 13:05:10 | 文件大小: 33.63MB | 文件类型: ZIP
机器学习课程#MNIST数据集上的卷积神经网络实验,基于pytorch。包括:数据可视化、train训练代码与test测试代码。 都是包装好的代码,做实验只要修改其中指定行的代码即可。内置【说明文件.md】来帮助你更快地了解!!!

文件下载

资源详情

[{"title":"( 29 个子文件 33.63MB ) - MNIST数据集卷积神经网络实验.zip - 数据可视化、训练文件、测试文件 - 改超参数即可训练,开袋即食 ","children":[{"title":"MNIST数据集卷积神经网络实验","children":[{"title":"data_visualization.ipynb <span style='color:#111;'> 489.10KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"MNIST","children":[{"title":"raw","children":[{"title":"t10k-images-idx3-ubyte.gz <span style='color:#111;'> 1.57MB </span>","children":null,"spread":false},{"title":"t10k-labels-idx1-ubyte <span style='color:#111;'> 9.77KB </span>","children":null,"spread":false},{"title":"t10k-labels-idx1-ubyte.gz <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false},{"title":"train-labels-idx1-ubyte.gz <span style='color:#111;'> 28.20KB </span>","children":null,"spread":false},{"title":"train-images-idx3-ubyte <span style='color:#111;'> 44.86MB </span>","children":null,"spread":false},{"title":"train-images-idx3-ubyte.gz <span style='color:#111;'> 9.45MB </span>","children":null,"spread":false},{"title":"t10k-images-idx3-ubyte <span style='color:#111;'> 7.48MB </span>","children":null,"spread":false},{"title":"train-labels-idx1-ubyte <span style='color:#111;'> 58.60KB </span>","children":null,"spread":false}],"spread":true},{"title":"processed","children":[{"title":"test.pt <span style='color:#111;'> 7.55MB </span>","children":null,"spread":false},{"title":"training.pt <span style='color:#111;'> 45.32MB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true},{"title":"test.py <span style='color:#111;'> 1.98KB </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 6.47KB </span>","children":null,"spread":false},{"title":"说明文件.md <span style='color:#111;'> 1.35KB </span>","children":null,"spread":false},{"title":"train_k折交叉验证.py <span style='color:#111;'> 8.84KB </span>","children":null,"spread":false},{"title":"visualization_figures_save","children":[{"title":"数字9#九宫格.png <span style='color:#111;'> 21.58KB </span>","children":null,"spread":false},{"title":"wrong_predicted.png <span style='color:#111;'> 68.79KB </span>","children":null,"spread":false},{"title":"digital_show.png <span style='color:#111;'> 25.64KB </span>","children":null,"spread":false},{"title":"数字8#九宫格.png <span style='color:#111;'> 25.71KB </span>","children":null,"spread":false},{"title":"数字4#九宫格.png <span style='color:#111;'> 20.74KB </span>","children":null,"spread":false},{"title":"数字6#九宫格.png <span style='color:#111;'> 22.86KB </span>","children":null,"spread":false},{"title":"数字7#九宫格.png <span style='color:#111;'> 19.89KB </span>","children":null,"spread":false},{"title":"数字2#九宫格.png <span style='color:#111;'> 24.46KB </span>","children":null,"spread":false},{"title":"数字3#九宫格.png <span style='color:#111;'> 23.30KB </span>","children":null,"spread":false},{"title":"count_test_data.png <span style='color:#111;'> 65.43KB </span>","children":null,"spread":false},{"title":"数字0#九宫格.png <span style='color:#111;'> 25.46KB </span>","children":null,"spread":false},{"title":"数字5#九宫格.png <span style='color:#111;'> 20.13KB </span>","children":null,"spread":false},{"title":"count_train_data.png <span style='color:#111;'> 65.57KB </span>","children":null,"spread":false},{"title":"数字1#九宫格.png <span style='color:#111;'> 13.94KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true}]

评论信息

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