[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-2633":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":10,"archived":21,"fork":21,"defaultBranch":22,"hasWiki":21,"hasPages":21,"topics":23,"createdAt":10,"pushedAt":10,"updatedAt":24,"readmeContent":25,"aiSummary":26,"trendingCount":16,"starSnapshotCount":16,"syncStatus":27,"lastSyncTime":28,"discoverSource":29},2633,"neural-networks-and-deep-learning","mnielsen\u002Fneural-networks-and-deep-learning","mnielsen","Code samples for my book \"Neural Networks and Deep Learning\"","",null,"Python",17707,7056,1106,7,0,11,60,3,45,false,"master",[],"2026-06-12 02:00:42","# Code samples for \"Neural Networks and Deep Learning\"\r\n\r\nThis repository contains code samples for my book on [\"Neural Networks\r\nand Deep Learning\"](http:\u002F\u002Fneuralnetworksanddeeplearning.com).\r\n\r\nThe code is written for Python 2.6 or 2.7. There is a version for \r\nPython 3.8-3.10 [here](https:\u002F\u002Fgithub.com\u002Funexploredtest\u002Fneural-networks-and-deep-learning). \r\nI will not be updating the current repository for Python 3 compatibility.\r\n\r\nThe program `src\u002Fnetwork3.py` uses version 0.6 or 0.7 of the Theano\r\nlibrary.  It needs modification for compatibility with later versions\r\nof the library.  I will not be making such modifications.\r\n\r\nAs the code is written to accompany the book, I don't intend to add\r\nnew features. However, bug reports are welcome, and you should feel\r\nfree to fork and modify the code.\r\n\r\n## License\r\n\r\nMIT License\r\n\r\nCopyright (c) 2012-2022 Michael Nielsen\r\n\r\nPermission is hereby granted, free of charge, to any person obtaining\r\na copy of this software and associated documentation files (the\r\n\"Software\"), to deal in the Software without restriction, including\r\nwithout limitation the rights to use, copy, modify, merge, publish,\r\ndistribute, sublicense, and\u002For sell copies of the Software, and to\r\npermit persons to whom the Software is furnished to do so, subject to\r\nthe following conditions:\r\n\r\nThe above copyright notice and this permission notice shall be\r\nincluded in all copies or substantial portions of the Software.\r\n\r\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\r\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\r\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND\r\nNONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE\r\nLIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION\r\nOF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION\r\nWITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\r\n","该项目提供了《神经网络与深度学习》一书的代码示例。核心功能包括使用Python 2.6或2.7实现的基础神经网络模型，以及基于Theano库（版本0.6或0.7）构建的更复杂模型。技术特点上，它强调了从理论到实践的学习过程，适合初学者理解神经网络和深度学习的基本概念及实现方法。此外，项目还提供了一个针对Python 3.8-3.10版本的分支，以适应更多开发者的需求。尽管作者不再更新原仓库以支持新版本Python或Theano，但其代码结构清晰、文档详实，非常适合教育场景下的学习和教学活动。",2,"2026-06-11 02:50:34","top_language"]