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starter
- 斯坦福大学公开课“深度学习”课程作业答案-Stanford University OpenClass CS294A Deep Learning assignment answer.
machine-learning-ex1
- 斯坦福大学机器学习课程作业第一章，主要包含线性回归实战。-Stanford Machine Learning course work first chapter contains a linear regression combat.
machine-learning-ex2
- 斯坦福大学机器学习课程作业第二章，主要包含逻辑逻辑回归算法实战。-Stanford University machine learning course of the second chapter, including logic logic regression algorithm combat.
machine-learning-ex3
- 斯坦福大学机器学习课程作业第三章，主要包含人工神经网络算法初阶实战。-Stanford University machine learning course work The third chapter, mainly contains the artificial neural network algorithm initial combat.
machine-learning-ex4
- 斯坦福大学机器学习课程作业第四章，主要包含人工神经网络算法进阶实战。-Stanford University machine learning course of the fourth chapter, mainly including artificial neural network algorithm advanced combat.
machine-learning-ex5
- 斯坦福大学机器学习课程作业第五章，主要包含加正则项的线性回归算法实战。-Stanford University machine learning course of the fifth chapter, including Regularized Linear Regression algorithm combat.
machine-learning-ex6
- 斯坦福大学机器学习课程作业第六章，主要包含支持向量机算法实战。-Chapter 6 of the Stanford University machine learning course, mainly includes support vector machine algorithm combat.
machine-learning6-9
- 斯坦福大学机器学习，5到9周课后程序，都自己实验过的，可以运行出结果，对机器学习有帮助！-Stanford Machine Learning, 5-9 weeks after school programs have had their own experiments, you can run the results of machine learning to help!
code-of-UFLDL
- 斯坦福大学deep-learning教程ufldl练习答案-the answer of the exercise of ufldl
jiqixuexikecheng
- 机器学习课件，斯坦福大学的机器学习公开课课程课件，全英文版(Machine learning courseware, Stanford university machine learning open courseware courseware, full English)
stanford_dl_ex-master
- coursera斯坦福Andrew Ng的深度学习编程作业答案(This is the answer of Andrew ng's deep learning curriculum in coursera.)
机器学习个人笔记完整版v4.21
- 吴恩达2014斯坦福大学机器学习课程讲义(2014 Stanford University machine learning course handouts)
ex1
- 斯坦福大学机器学习课程练习一的参考源码，可以直接运行，辅助学习，仅供参考。(A reference source code of Stanford University machine learning course. It can run directly. Aided learning. For reference only.)
cvx-w64
- 计算凸优化问题的matlab程序包，支持64位系统。来自斯坦福大牛Boyd。(CVX is a Matlab-based modeling system for convex optimization. CVX turns Matlab into a modeling language, allowing constraints and objectives to be specified using standard Matlab expression syntax.)
cs231n assignment solutions
- 斯坦福深度学习公开课cs231n的前两次作业代码(1st and 2nd assignment of cs231n, stanford deep learning course)
Andrew Ng-吴恩达
- 斯坦福大学的“Stanford Engineering Everywhere ”免费提供学校里最受欢迎的工科课程，给全世界的学生和教育工作者。本文档为机器学习课程的课件及课后习题与答案，新手上路杠杠的。(The "Stanford Engineering Everywhere" of the Stanford University offers the most popular engineering courses in schools for students and e
assignment1
- 斯坦福大学CS231n深度学习课设1111(CS231n depth study in Stanford University 1111)
09967310
- 给大家提供了一个斯坦福大学的K均值算法的文章有较好的研究价值,希望能给大家一些帮助,()
斯坦福兔子点云数据-matlab读取并显示
- 三维点云重构，兔子模型，用于学习。交流学习，禁止商用。(Three dimensional point cloud reconstruction, rabbit model, for learning.Exchange study and prohibit business.)
基于MWC的CFR载频估计系统
- 基于斯坦福大学ELDER团队的调制宽度转换器MWC的CFR载频估计系统，可以测出信号载频的频率，并且误差控制在很小的范围