首页 人工智能 深度学习     /    《深度学习:算法到实战》全套代码.zip

《深度学习:算法到实战》全套代码.zip

上传者: qq_39932172 | 上传时间:2023/8/21 6:27:02 | 文件大小:10.82MB | 文件类型:ZIP
《深度学习:算法到实战》全套代码.zip
《深度学习:算法到实战》全套代码

文件下载

资源详情

[{"title":"(67个子文件10.82MB)《深度学习:算法到实战》全套代码.zip","children":[{"title":"02_代码","children":[{"title":"00_基础","children":[{"title":"如何用PyTorch完成实验.ipynb <span style='color:#111;'>124.34KB</span>","children":null,"spread":false},{"title":"PyTorch基础概念.ipynb <span style='color:#111;'>19.24KB</span>","children":null,"spread":false}],"spread":true},{"title":"03_CNN网络分类实战","children":[{"title":"Tensorflow-CNN-Tutorial-master.zip <span style='color:#111;'>239.89KB</span>","children":null,"spread":false}],"spread":true},{"title":"01_CNN","children":[{"title":"data_preprecess.ipynb <span style='color:#111;'>24.67KB</span>","children":null,"spread":false},{"title":"cnn.ipynb <span style='color:#111;'>4.61KB</span>","children":null,"spread":false}],"spread":true},{"title":"05_GAN","children":[{"title":"02_图像翻译任务GAN","children":[{"title":"Pytorch-Image-Translation-GANs-master.zip <span style='color:#111;'>17.79KB</span>","children":null,"spread":false}],"spread":true},{"title":"01_常用GAN","children":[{"title":"Pytorch-Basic-GANs-master.zip <span style='color:#111;'>13.86KB</span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"04_RNN","children":[{"title":"sequence_labeling.ipynb <span style='color:#111;'>4.51KB</span>","children":null,"spread":false},{"title":"seq2seq","children":[{"title":"eval.py <span style='color:#111;'>2.18KB</span>","children":null,"spread":false},{"title":"plot.py <span style='color:#111;'>921B</span>","children":null,"spread":false},{"title":"config.py <span style='color:#111;'>172B</span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'>4.22KB</span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"plot-checkpoint.py <span style='color:#111;'>921B</span>","children":null,"spread":false},{"title":"data-checkpoint.py <span style='color:#111;'>3.80KB</span>","children":null,"spread":false},{"title":"train-checkpoint.py <span style='color:#111;'>4.22KB</span>","children":null,"spread":false},{"title":"config-checkpoint.py <span style='color:#111;'>172B</span>","children":null,"spread":false},{"title":"eval-checkpoint.py <span style='color:#111;'>2.18KB</span>","children":null,"spread":false}],"spread":true},{"title":"utils.py <span style='color:#111;'>288B</span>","children":null,"spread":false},{"title":"model.py <span style='color:#111;'>2.79KB</span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"plot.cpython-36.pyc <span style='color:#111;'>1.06KB</span>","children":null,"spread":false},{"title":"eval.cpython-36.pyc <span style='color:#111;'>1.84KB</span>","children":null,"spread":false},{"title":"data.cpython-36.pyc <span style='color:#111;'>4.63KB</span>","children":null,"spread":false},{"title":"data.cpython-37.pyc <span style='color:#111;'>4.44KB</span>","children":null,"spread":false},{"title":"utils.cpython-37.pyc <span style='color:#111;'>539B</span>","children":null,"spread":false},{"title":"model.cpython-37.pyc <span style='color:#111;'>3.19KB</span>","children":null,"spread":false},{"title":"config.cpython-36.pyc <span style='color:#111;'>334B</span>","children":null,"spread":false},{"title":"eval.cpython-37.pyc <span style='color:#111;'>1.84KB</span>","children":null,"spread":false},{"title":"config.cpython-37.pyc <span style='color:#111;'>342B</span>","children":null,"spread":false},{"title":"gpu.cpython-37.pyc <span style='color:#111;'>6.36KB</span>","children":null,"spread":false},{"title":"utils.cpython-36.pyc <span style='color:#111;'>531B</span>","children":null,"spread":false},{"title":"plot.cpython-37.pyc <span style='color:#111;'>1.08KB</span>","children":null,"spread":false},{"title":"model.cpython-36.pyc <span style='color:#111;'>3.17KB</span>","children":null,"spread":false}],"spread":false},{"title":"gpu.py <span style='color:#111;'>5.53KB</span>","children":null,"spread":false},{"title":"data.py <span style='color:#111;'>3.80KB</span>","children":null,"spread":false},{"title":"data","children":[{"title":"eng-chi.txt <span style='color:#111;'>1.21MB</span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"eng-chi-checkpoint.txt <span style='color:#111;'>1.21MB</span>","children":null,"spread":false}],"spread":false},{"title":"names","children":[{"title":"Irish.txt <span style='color:#111;'>1.81KB</span>","children":null,"spread":false},{"title":"Japanese.txt <span style='color:#111;'>7.44KB</span>","children":null,"spread":false},{"title":"Scottish.txt <span style='color:#111;'>752B</span>","children":null,"spread":false},{"title":"Vietnamese.txt <span style='color:#111;'>339B</span>","children":null,"spread":false},{"title":"French.txt <span style='color:#111;'>2.13KB</span>","children":null,"spread":false},{"title":"Portuguese.txt <span style='color:#111;'>554B</span>","children":null,"spread":false},{"title":"Russian.txt <span style='color:#111;'>83.60KB</span>","children":null,"spread":false},{"title":"German.txt <span style='color:#111;'>5.48KB</span>","children":null,"spread":false},{"title":"Italian.txt <span style='color:#111;'>5.52KB</span>","children":null,"spread":false},{"title":"Korean.txt <span style='color:#111;'>423B</span>","children":null,"spread":false},{"title":"Arabic.txt <span style='color:#111;'>12.88KB</span>","children":null,"spread":false},{"title":"Czech.txt <span style='color:#111;'>3.83KB</span>","children":null,"spread":false},{"title":"Dutch.txt <span style='color:#111;'>2.30KB</span>","children":null,"spread":false},{"title":"Greek.txt <span style='color:#111;'>1.93KB</span>","children":null,"spread":false},{"title":"Spanish.txt <span style='color:#111;'>2.23KB</span>","children":null,"spread":false},{"title":"Polish.txt <span style='color:#111;'>1.14KB</span>","children":null,"spread":false},{"title":"Chinese.txt <span style='color:#111;'>1.22KB</span>","children":null,"spread":false},{"title":"English.txt <span style='color:#111;'>26.49KB</span>","children":null,"spread":false}],"spread":false},{"title":"eng-fra.txt <span style='color:#111;'>9.10MB</span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"Tensorflow-RNN-Tutorial-master.zip <span style='color:#111;'>14.14KB</span>","children":null,"spread":false},{"title":"seq2seq.ipynb <span style='color:#111;'>43.54KB</span>","children":null,"spread":false},{"title":"crf_sequence_labeling.ipynb <span style='color:#111;'>13.37KB</span>","children":null,"spread":false},{"title":"nlm_word_embedding.ipynb <span style='color:#111;'>14.74KB</span>","children":null,"spread":false},{"title":"crf","children":[{"title":"crf.py <span style='color:#111;'>7.10KB</span>","children":null,"spread":false}],"spread":true},{"title":"data","children":[{"title":"encoder.pkl <span style='color:#111;'>2.52MB</span>","children":null,"spread":false},{"title":"eng-chi.txt <span style='color:#111;'>1.21MB</span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"eng-chi-checkpoint.txt <span style='color:#111;'>1.21MB</span>","children":null,"spread":false}],"spread":false},{"title":"decoder.pkl <span style='color:#111;'>3.59MB</span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"02_CNN经典网络","children":[{"title":"vgg.ipynb <span style='color:#111;'>11.43KB</span>","children":null,"spread":false},{"title":"googleNet.ipynb <span style='color:#111;'>163.23KB</span>","children":null,"spread":false},{"title":"resnet.ipynb <span style='color:#111;'>120.33KB</span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]

评论信息

免责申明

【好快吧下载】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,【好快吧下载】 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 【好快吧下载】 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,8686821#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