BP神经网络源码(python实现)

上传者: 38048756 | 上传时间: 2021-08-12 20:38:38 | 文件大小: 21KB | 文件类型: RAR
python代码实现,可以调整网络结构,适用分类与回归问题,包含随机梯度下降、动量梯度下降,RMSProp、Adam优化算法。

文件下载

资源详情

[{"title":"( 24 个子文件 21KB ) BP神经网络源码(python实现)","children":[{"title":"BP神经网络源码","children":[{"title":"predict.py <span style='color:#111;'> 737B </span>","children":null,"spread":false},{"title":"mini_batch.py <span style='color:#111;'> 3.12KB </span>","children":null,"spread":false},{"title":"multi_class.py <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"ex1data1.txt <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false},{"title":"Linear_Activation_Forward.py <span style='color:#111;'> 1.83KB </span>","children":null,"spread":false},{"title":"adam.py <span style='color:#111;'> 4.10KB </span>","children":null,"spread":false},{"title":"gradient_check.py <span style='color:#111;'> 3.13KB </span>","children":null,"spread":false},{"title":"dnn_utils.py <span style='color:#111;'> 4.35KB </span>","children":null,"spread":false},{"title":"testCases.py <span style='color:#111;'> 6.36KB </span>","children":null,"spread":false},{"title":"Linear_Forward.py <span style='color:#111;'> 1.01KB </span>","children":null,"spread":false},{"title":"init_para.py <span style='color:#111;'> 1.43KB </span>","children":null,"spread":false},{"title":"test2.py <span style='color:#111;'> 2.70KB </span>","children":null,"spread":false},{"title":"momentum.py <span style='color:#111;'> 2.12KB </span>","children":null,"spread":false},{"title":"ex1data2.txt <span style='color:#111;'> 657B </span>","children":null,"spread":false},{"title":"Update_Parameters.py <span style='color:#111;'> 1.06KB </span>","children":null,"spread":false},{"title":"lr_utils.py <span style='color:#111;'> 880B </span>","children":null,"spread":false},{"title":"说明文档.txt <span style='color:#111;'> 161B </span>","children":null,"spread":false},{"title":"L_model_forward.py <span style='color:#111;'> 1.53KB </span>","children":null,"spread":false},{"title":"Linear_Backward.py <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false},{"title":"L_layer_model.py <span style='color:#111;'> 3.58KB </span>","children":null,"spread":false},{"title":"L_model_backward.py <span style='color:#111;'> 2.08KB </span>","children":null,"spread":false},{"title":"cost_func.py <span style='color:#111;'> 940B </span>","children":null,"spread":false},{"title":"Linear_Activation_Backward.py <span style='color:#111;'> 1.82KB </span>","children":null,"spread":false}],"spread":false}],"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