Neural Networks - Multi-class classification

时间 2021-01-20

标签人工智能 # 机器学习繁體版

原文原文链接

摘要: 本文是吴恩达 (Andrew Ng)老师《机器学习》课程，第九章《神经网络学习》中第71课时《多分类》的视频原文字幕。为本人在视频学习过程中记录下来并加以修正，使其更加简洁，方便阅读，以便日后查阅使用。现分享给大家。如有错误，欢迎大家批评指正，在此表示诚挚地感谢！同时希望对大家的学习能有所帮助. ———————————————— In this video, I want to tell

>>阅读原文<<

1. Multiclass Classification One-vs-all
2. Convolutional Neural Networks for Sentence Classification
3. ImageNet Classification with Deep Convolutional Neural Networks
4. 《Convolutional Neural Networks for Sentence Classification》
5. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks
6. Recurrent Convolutional Neural Networks for Text Classification
7. 【Paper】TextCNN：Convolutional Neural Networks for Sentence Classification
8. Structural Image Classification with Graph Neural Networks
9. Introduction To Neural Networks
10. alexnet笔记（ImageNet Classification with Deep Convolutional Neural Networks）
更多相关文章...
• R 包 - R 语言教程
• Docker Compose - Docker教程

最新文章

1. 升级Gradle后报错Gradle‘s dependency cache may be corrupt (this sometimes occurs
2. Smarter, Not Harder
3. mac-2019-react-native 本地环境搭建(xcode-11.1和android studio3.5.2中Genymotion2.12.1 和VirtualBox-5.2.34 )
4. 查看文件中关键字前后几行的内容
5. XXE萌新进阶全攻略
6. Installation failed due to: ‘Connection refused: connect‘安卓studio端口占用
7. zabbix5.0通过agent监控winserve12
8. IT行业UI前景、潜力如何？
9. Mac Swig 3.0.12 安装
10. Windows上FreeRDP-WebConnect是一个开源HTML5代理，它提供对使用RDP的任何Windows服务器和工作站的Web访问

本站公众号

欢迎关注本站公众号,获取更多信息

1. Multiclass Classification One-vs-all
2. Convolutional Neural Networks for Sentence Classification
3. ImageNet Classification with Deep Convolutional Neural Networks
4. 《Convolutional Neural Networks for Sentence Classification》
5. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks
6. Recurrent Convolutional Neural Networks for Text Classification
7. 【Paper】TextCNN：Convolutional Neural Networks for Sentence Classification
8. Structural Image Classification with Graph Neural Networks
9. Introduction To Neural Networks
10. alexnet笔记（ImageNet Classification with Deep Convolutional Neural Networks）

>>更多相关文章<<