keras快速上手-基于python的深度学习实践-代码

上传者: zdh111111 | 上传时间: 2023-03-10 15:00:47 | 文件大小: 5.14MB | 文件类型: ZIP
《keras快速上手-基于python的深度学习实践》原书代码

文件下载

资源详情

[{"title":"( 55 个子文件 5.14MB ) keras快速上手-基于python的深度学习实践-代码","children":[{"title":"keras快速上手-基于python的深度学习实践","children":[{"title":"第2章代码","children":[{"title":"stock163","children":[{"title":"scrapy.cfg <span style='color:#111;'> 269B </span>","children":null,"spread":false},{"title":"crawl_today.bat <span style='color:#111;'> 82B </span>","children":null,"spread":false},{"title":"data","children":[{"title":"News","children":[{"title":"Stocks","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 11.29KB </span>","children":null,"spread":false},{"title":"stock163","children":[{"title":"items.pyc <span style='color:#111;'> 586B </span>","children":null,"spread":false},{"title":"log","children":[{"title":"newsSpider.log <span style='color:#111;'> 4.54KB </span>","children":null,"spread":false}],"spread":true},{"title":"pipelines.py <span style='color:#111;'> 1.81KB </span>","children":null,"spread":false},{"title":"spiders","children":[{"title":"news_spider - 副本.py <span style='color:#111;'> 3.03KB </span>","children":null,"spread":false},{"title":"news_spider.pyc <span style='color:#111;'> 3.25KB </span>","children":null,"spread":false},{"title":"__init__.pyc <span style='color:#111;'> 148B </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"news_spider - 副本.cpython-36.pyc <span style='color:#111;'> 2.87KB </span>","children":null,"spread":false},{"title":"news_spider.cpython-36.pyc <span style='color:#111;'> 2.89KB </span>","children":null,"spread":false},{"title":"__init__.cpython-35.pyc <span style='color:#111;'> 134B </span>","children":null,"spread":false},{"title":"__init__.cpython-36.pyc <span style='color:#111;'> 141B </span>","children":null,"spread":false},{"title":"news_spider - 副本.cpython-35.pyc <span style='color:#111;'> 3.05KB </span>","children":null,"spread":false},{"title":"news_spider.cpython-35.pyc <span style='color:#111;'> 3.07KB </span>","children":null,"spread":false}],"spread":false},{"title":"news_spider.py <span style='color:#111;'> 3.07KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 165B </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.pyc <span style='color:#111;'> 140B </span>","children":null,"spread":false},{"title":"store.pyc <span style='color:#111;'> 313B </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"items.cpython-36.pyc <span style='color:#111;'> 471B </span>","children":null,"spread":false},{"title":"pipelines.cpython-35.pyc <span style='color:#111;'> 1.50KB </span>","children":null,"spread":false},{"title":"middleware.cpython-35.pyc <span style='color:#111;'> 1000B </span>","children":null,"spread":false},{"title":"__init__.cpython-35.pyc <span style='color:#111;'> 126B </span>","children":null,"spread":false},{"title":"__init__.cpython-36.pyc <span style='color:#111;'> 133B </span>","children":null,"spread":false},{"title":"settings.cpython-35.pyc <span style='color:#111;'> 2.41KB </span>","children":null,"spread":false},{"title":"settings.cpython-36.pyc <span style='color:#111;'> 2.37KB </span>","children":null,"spread":false},{"title":"items.cpython-35.pyc <span style='color:#111;'> 509B </span>","children":null,"spread":false}],"spread":false},{"title":"middleware.py <span style='color:#111;'> 440B </span>","children":null,"spread":false},{"title":"items.py <span style='color:#111;'> 506B </span>","children":null,"spread":false},{"title":"pipelines._pyc <span style='color:#111;'> 826B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"settings.py <span style='color:#111;'> 2.83KB </span>","children":null,"spread":false},{"title":"store.py <span style='color:#111;'> 151B </span>","children":null,"spread":false},{"title":"settings.pyc <span style='color:#111;'> 448B </span>","children":null,"spread":false},{"title":"pipelines - 副本.py <span style='color:#111;'> 1.78KB </span>","children":null,"spread":false},{"title":"pipelines.old <span style='color:#111;'> 591B </span>","children":null,"spread":false}],"spread":false},{"title":"StockList.txt <span style='color:#111;'> 2.08KB </span>","children":null,"spread":false},{"title":"PythonRun.py <span style='color:#111;'> 2.84KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 632B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"第5~9章代码","children":[{"title":"kerasNotebook","children":[{"title":"第9章_时间序列分析.ipynb <span style='color:#111;'> 2.91MB </span>","children":null,"spread":false},{"title":"第7章_自然语言情感分析.ipynb <span style='color:#111;'> 29.50KB </span>","children":null,"spread":false},{"title":"第6章_图像识别VGG16迁移学习(1).ipynb <span style='color:#111;'> 17.98KB </span>","children":null,"spread":false},{"title":"第6章_图像识别补充材料FashionMNIST.ipynb <span style='color:#111;'> 586.79KB </span>","children":null,"spread":false},{"title":"第6章_图像识别VGG16迁移学习.ipynb <span style='color:#111;'> 17.98KB </span>","children":null,"spread":false},{"title":"第6章_图像识别MNIST.ipynb <span style='color:#111;'> 7.51KB </span>","children":null,"spread":false},{"title":"第6章_图像识别MNIST(1).ipynb <span style='color:#111;'> 7.51KB </span>","children":null,"spread":false},{"title":"第8章_文字生成(1).ipynb <span style='color:#111;'> 29.00KB </span>","children":null,"spread":false},{"title":"第7章_自然语言情感分析(1).ipynb <span style='color:#111;'> 29.50KB </span>","children":null,"spread":false},{"title":"第8章_基于索引的深度学习对话模型.ipynb <span style='color:#111;'> 15.59KB </span>","children":null,"spread":false},{"title":"第5章_推荐系统.ipynb <span style='color:#111;'> 29.42KB </span>","children":null,"spread":false},{"title":"第8章_文字生成.ipynb <span style='color:#111;'> 29.00KB </span>","children":null,"spread":false},{"title":"第8章_基于索引的深度学习对话模型(1).ipynb <span style='color:#111;'> 15.59KB </span>","children":null,"spread":false},{"title":"第6章_图像识别补充材料FashionMNIST(1).ipynb <span style='color:#111;'> 586.79KB </span>","children":null,"spread":false},{"title":"第9章_时间序列分析(1).ipynb <span style='color:#111;'> 2.91MB </span>","children":null,"spread":false},{"title":"第5章_推荐系统(1).ipynb <span style='color:#111;'> 29.42KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"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