目标(Goal):\underset{\theta_0, \theta_1}{\text{minimize}} J \left(\theta_0, \theta_1 \right) 为了直观理解损失函数到底是在做什么,先假设\theta_1 = 0,并假设训练集有三个数据,分别为\left(1, 1\right), \left(2, 2\right), \left(3, 3\right),这样在平面坐标系中绘制出h_\theta\le...
吴恩达(Andrew Ng)在coursera的机器学习课程习题的python实现. Contribute to hujinsen/python-machine-learning development by creating an account on GitHub.
吴恩达老师的机器学习课程个人笔记. Contribute to cuijiang94/Coursera-ML-AndrewNg-Notes development by creating an account on GitHub.
吴恩达老师的机器学习课程个人笔记. Contribute to fengdu78/Coursera-ML-AndrewNg-Notes development by creating an account on GitHub.
programming assignments-my submissions. Contribute to niudd/deeplearning_Andrew_Ng_Coursera development by creating an account on GitHub.
【原】Coursera—Andrew Ng机器学习—编程作业 Programming Exercise 3—多分类逻辑回归和神经网络 作业说明 Exercise 3,Week 4,使用Octave实现图片中手写数字 0-9 的识别,采用两种方式(1)多分类逻辑回归(2)多分类神经网络。对比结果。 (1)多分类逻辑回归:实现lrCostFunction计算代价和梯度。实现 OneVsAll 使用 ...
在线阅读:https://scruel.github.io/Notes-ML-AndrewNg GitHub:scruel/Noted-ML-AndrewNg 笔记都为中文,为了便于复习和扩充等,尽量会按照视频目录,以及视频内容进行提炼整理。(.md)源码在 GitHub 中可以直接下载、编辑、扩充。 仍在更新中,每天会抽出时间整理并更新,欢迎大佬们提意见,提 issue~记得查阅 README,...
吴恩达老师的机器学习课程个人笔记. Contribute to xuke225/Coursera-ML-AndrewNg-Notes development by creating an account on GitHub.
Insights: Niu-se/Coursera-ML-AndrewNg-Notes Pulse Contributors Commits Code frequency Dependency graph Network Forks This network is too big to show all forks as a tree. To sort, filter, and see more results, switch to the list view. Forks switch to list view fengdu78 / Coursera-ML-...
ML-AndrewNg-Notes 课程地址: https://www.coursera.org/learn/machine-learning (吴恩达老师在 Coursera 上的机器学习公开课) 本项目包含课程中的课后作业以及笔记: 笔记(notes)都为中文,为了便于复习和扩充等,尽量会按照视频目录,以及视频内容进行提炼整理。