深度学习pytorch(代码)

上传者: zhangkzz | 上传时间: 2023-03-01 15:13:51 | 文件大小: 29.97MB | 文件类型: ZIP
pytorch深度学习框架虽然在一些方面上不如tensorflow,但是具备自己特有的优势,本代码是深度学习和pytorch之间的一些例程,以供学习~

文件下载

资源详情

[{"title":"( 139 个子文件 29.97MB ) 深度学习pytorch(代码)","children":[{"title":"train.txt <span style='color:#111;'> 34.29KB </span>","children":null,"spread":false},{"title":"16.png <span style='color:#111;'> 2.07KB </span>","children":null,"spread":false},{"title":"17.png <span style='color:#111;'> 2.21KB </span>","children":null,"spread":false},{"title":"18.png <span style='color:#111;'> 2.13KB </span>","children":null,"spread":false},{"title":"12.png <span style='color:#111;'> 2.44KB </span>","children":null,"spread":false},{"title":"11.png <span style='color:#111;'> 2.01KB </span>","children":null,"spread":false},{"title":"10.png <span style='color:#111;'> 2.05KB </span>","children":null,"spread":false},{"title":"3.png <span style='color:#111;'> 2.02KB </span>","children":null,"spread":false},{"title":"1.png <span style='color:#111;'> 2.40KB </span>","children":null,"spread":false},{"title":"2.png <span style='color:#111;'> 2.58KB </span>","children":null,"spread":false},{"title":"tensorboard.ipynb <span style='color:#111;'> 9.61KB </span>","children":null,"spread":false},{"title":"data-io.ipynb <span style='color:#111;'> 18.23KB </span>","children":null,"spread":false},{"title":"regularization.ipynb <span style='color:#111;'> 7.28KB </span>","children":null,"spread":false},{"title":"lr-decay.ipynb <span style='color:#111;'> 35.78KB </span>","children":null,"spread":false},{"title":"cat.png <span style='color:#111;'> 94.69KB </span>","children":null,"spread":false},{"title":"resnet.ipynb <span style='color:#111;'> 13.81KB </span>","children":null,"spread":false},{"title":"googlenet.ipynb <span style='color:#111;'> 14.40KB </span>","children":null,"spread":false},{"title":"data-augumentation.ipynb <span style='color:#111;'> 1.27MB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 4.83KB </span>","children":null,"spread":false},{"title":"basic_conv.ipynb <span style='color:#111;'> 342.07KB </span>","children":null,"spread":false},{"title":"densenet.ipynb <span style='color:#111;'> 13.08KB </span>","children":null,"spread":false},{"title":"vgg.ipynb <span style='color:#111;'> 14.69KB </span>","children":null,"spread":false},{"title":"batch-normalization.ipynb <span style='color:#111;'> 21.13KB </span>","children":null,"spread":false},{"title":"aws.md <span style='color:#111;'> 9.68KB </span>","children":null,"spread":false},{"title":"process data.ipynb <span style='color:#111;'> 238.87KB </span>","children":null,"spread":false},{"title":"fix_train.py <span style='color:#111;'> 4.23KB </span>","children":null,"spread":false},{"title":"feature_extraction.py <span style='color:#111;'> 2.73KB </span>","children":null,"spread":false},{"title":"dataset.py <span style='color:#111;'> 834B </span>","children":null,"spread":false},{"title":"net.py <span style='color:#111;'> 1.37KB </span>","children":null,"spread":false},{"title":"feature_train.py <span style='color:#111;'> 3.49KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 76B </span>","children":null,"spread":false},{"title":"load_img.py <span style='color:#111;'> 380B </span>","children":null,"spread":false},{"title":"loss.py <span style='color:#111;'> 1.54KB </span>","children":null,"spread":false},{"title":"demo.ipynb <span style='color:#111;'> 820.32KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 179B </span>","children":null,"spread":false},{"title":"saved_picture.png <span style='color:#111;'> 597.62KB </span>","children":null,"spread":false},{"title":"content.png <span style='color:#111;'> 316.54KB </span>","children":null,"spread":false},{"title":"style.png <span style='color:#111;'> 637.00KB </span>","children":null,"spread":false},{"title":"run_code.py <span style='color:#111;'> 1.43KB </span>","children":null,"spread":false},{"title":"build_model.py <span style='color:#111;'> 1.90KB </span>","children":null,"spread":false},{"title":"config.py <span style='color:#111;'> 1.42KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 98B </span>","children":null,"spread":false},{"title":"fcn.py <span style='color:#111;'> 2.35KB </span>","children":null,"spread":false},{"title":"get_data.sh <span style='color:#111;'> 234B </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 6.86KB </span>","children":null,"spread":false},{"title":"fcn.ipynb <span style='color:#111;'> 1.15MB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 159B </span>","children":null,"spread":false},{"title":"voc.py <span style='color:#111;'> 3.31KB </span>","children":null,"spread":false},{"title":"util.py <span style='color:#111;'> 593B </span>","children":null,"spread":false},{"title":"deepdream.py <span style='color:#111;'> 2.42KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 52B </span>","children":null,"spread":false},{"title":"input.png <span style='color:#111;'> 462.73KB </span>","children":null,"spread":false},{"title":"flower.jpg <span style='color:#111;'> 20.74KB </span>","children":null,"spread":false},{"title":"kitten.jpg <span style='color:#111;'> 20.85KB </span>","children":null,"spread":false},{"title":"sky.jpg <span style='color:#111;'> 144.99KB </span>","children":null,"spread":false},{"title":"resnet.py <span style='color:#111;'> 2.22KB </span>","children":null,"spread":false},{"title":"backward.py <span style='color:#111;'> 1.62KB </span>","children":null,"spread":false},{"title":"show_image.ipynb <span style='color:#111;'> 3.14MB </span>","children":null,"spread":false},{"title":"READMD.md <span style='color:#111;'> 823B </span>","children":null,"spread":false},{"title":"config.py <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"get_data.sh <span style='color:#111;'> 108B </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 5.03KB </span>","children":null,"spread":false},{"title":"fine-tune.ipynb <span style='color:#111;'> 791.67KB </span>","children":null,"spread":false},{"title":"deep-nn.ipynb <span style='color:#111;'> 85.75KB </span>","children":null,"spread":false},{"title":"linear-regression-gradient-descend.ipynb <span style='color:#111;'> 116.15KB </span>","children":null,"spread":false},{"title":"param_initialize.ipynb <span style='color:#111;'> 14.23KB </span>","children":null,"spread":false},{"title":"nn-sequential-module.ipynb <span style='color:#111;'> 245.39KB </span>","children":null,"spread":false},{"title":"logistic-regression.ipynb <span style='color:#111;'> 79.08KB </span>","children":null,"spread":false},{"title":"data.txt <span style='color:#111;'> 3.69KB </span>","children":null,"spread":false},{"title":"bp.ipynb <span style='color:#111;'> 5.90KB </span>","children":null,"spread":false},{"title":"momentum.ipynb <span style='color:#111;'> 86.33KB </span>","children":null,"spread":false},{"title":"adagrad.ipynb <span style='color:#111;'> 36.10KB </span>","children":null,"spread":false},{"title":"sgd.ipynb <span style='color:#111;'> 96.07KB </span>","children":null,"spread":false},{"title":"adam.ipynb <span style='color:#111;'> 36.01KB </span>","children":null,"spread":false},{"title":"adadelta.ipynb <span style='color:#111;'> 38.50KB </span>","children":null,"spread":false},{"title":"rmsprop.ipynb <span style='color:#111;'> 68.44KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 4.83KB </span>","children":null,"spread":false},{"title":"gan.ipynb <span style='color:#111;'> 1.18MB </span>","children":null,"spread":false},{"title":"vae.ipynb <span style='color:#111;'> 12.59KB </span>","children":null,"spread":false},{"title":"autoencoder.ipynb <span style='color:#111;'> 75.79KB </span>","children":null,"spread":false},{"title":"autograd-checkpoint.ipynb <span style='color:#111;'> 17.33KB </span>","children":null,"spread":false},{"title":"PyTorch-introduction.ipynb <span style='color:#111;'> 4.06KB </span>","children":null,"spread":false},{"title":"dynamic-graph.ipynb <span style='color:#111;'> 5.17KB </span>","children":null,"spread":false},{"title":"autograd.ipynb <span style='color:#111;'> 17.33KB </span>","children":null,"spread":false},{"title":"Tensor-and-Variable.ipynb <span style='color:#111;'> 34.43KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 9.63KB </span>","children":null,"spread":false},{"title":"HEAD <span style='color:#111;'> 217B </span>","children":null,"spread":false},{"title":"master <span style='color:#111;'> 217B </span>","children":null,"spread":false},{"title":"HEAD <span style='color:#111;'> 217B </span>","children":null,"spread":false},{"title":"packed-refs <span style='color:#111;'> 107B </span>","children":null,"spread":false},{"title":"exclude <span style='color:#111;'> 240B </span>","children":null,"spread":false},{"title":"index <span style='color:#111;'> 13.96KB </span>","children":null,"spread":false},{"title":"pack-8c961194e1051a548dc623c84722453180557ce6.idx <span style='color:#111;'> 18.55KB </span>","children":null,"spread":false},{"title":"pack-8c961194e1051a548dc623c84722453180557ce6.pack <span style='color:#111;'> 18.73MB </span>","children":null,"spread":false},{"title":"HEAD <span style='color:#111;'> 23B </span>","children":null,"spread":false},{"title":"config <span style='color:#111;'> 299B </span>","children":null,"spread":false},{"title":"master <span style='color:#111;'> 41B </span>","children":null,"spread":false},{"title":"HEAD <span style='color:#111;'> 32B </span>","children":null,"spread":false},{"title":"pre-applypatch.sample <span style='color:#111;'> 424B </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多,未全部展示</span>","children":null,"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