机器学习之各种优化器选择 HW4【代码及数据文件】

上传者: IanYue | 上传时间: 2022-10-12 22:06:01 | 文件大小: 11.47MB | 文件类型: ZIP
ML2022@CSE.CSU。中南大学机器学习作业四。Neural Network&Deep Learning李宏毅吴恩达机器学习HW4。增加loss和accuracy的图像绘制。手把手入门机器学习中的神经网络与深度学习。包含了各种optimizer优化器的公式推导,原理及代码。

文件下载

资源详情

[{"title":"( 21 个子文件 11.47MB ) 机器学习之各种优化器选择 HW4【代码及数据文件】","children":[{"title":"images","children":[{"title":"network_architecture.jpg <span style='color:#111;'> 52.55KB </span>","children":null,"spread":false},{"title":"Affine1.png <span style='color:#111;'> 6.12KB </span>","children":null,"spread":false},{"title":"softmax.png <span style='color:#111;'> 22.22KB </span>","children":null,"spread":false},{"title":"Affine2.png <span style='color:#111;'> 15.35KB </span>","children":null,"spread":false},{"title":"Adabelif_loss.png <span style='color:#111;'> 20.00KB </span>","children":null,"spread":false},{"title":"LeakyReLu.png <span style='color:#111;'> 16.96KB </span>","children":null,"spread":false},{"title":"Affine4.png <span style='color:#111;'> 41.36KB </span>","children":null,"spread":false},{"title":"2d_to_1d.jpg <span style='color:#111;'> 38.70KB </span>","children":null,"spread":false},{"title":"Affine3.png <span style='color:#111;'> 32.19KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":null,"spread":false},{"title":"softmax-cross.png <span style='color:#111;'> 95.25KB </span>","children":null,"spread":false},{"title":"Adabelif_accu.png <span style='color:#111;'> 18.74KB </span>","children":null,"spread":false}],"spread":false},{"title":"train_loss.txt <span style='color:#111;'> 214.91KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 1.74KB </span>","children":null,"spread":false},{"title":"Neural Network and Deep Learning.ipynb <span style='color:#111;'> 117.07KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"utils.cpython-38.pyc <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"utils.cpython-39.pyc <span style='color:#111;'> 1.48KB </span>","children":null,"spread":false}],"spread":true},{"title":"train_acc.txt <span style='color:#111;'> 285B </span>","children":null,"spread":false},{"title":"MNIST Data","children":[{"title":"train-images.idx3-ubyte <span style='color:#111;'> 44.86MB </span>","children":null,"spread":false},{"title":"test-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},{"title":".ipynb_checkpoints","children":null,"spread":false},{"title":"test-labels.idx1-ubyte <span style='color:#111;'> 9.77KB </span>","children":null,"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