搜索资源列表
Stanley
- 智能车辆基于斯坦福大学Stanley智能车模型建立的横向控制策略，MATLAB-Stanley lateral control strategy Intelligent Vehicle Intelligent Vehicle Model Based on Stanford University established, MATLAB
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.
qlearning11
- 这是一个实现强化学习的代码，可以解决山地车问题。这是一个实现函数将qlearning运用一次，选自斯坦福大学机器学习课程-This is a realization of reinforcement learning code, can solve the problem of mountain bike. This is a realization of function will use qlearning once selected Stanford Machine Learning Co
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.
mountain_carfromstanford
- 一部分关于斯坦福课后习题作业过山车的程序Stanford job on a part of the roller coaster after-school exercise program-Part of the after-school exercise program on the Stanford job coaster Stanford job on a part of the roller coaster after-school exercise program
deep-learning-pdf
- 这是深度学习的文档，是斯坦福大学深度学习公开课的ppt讲义，深入浅出，值得学习-This document is the depth of learning, deep learning Stanford University public courses ppt lecture, in layman' s language, it is worth learning
machine-learning1-5
- 斯坦福大学机器学习课程，2016版的，前五周课后作业习题程序实例，都是验证过的，可以作为学习参考！-Machine learning courses at Stanford University, 2016 edition, the first five weeks of homework exercises instance, are verified, as a study reference!
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
simv2.35.tar
- 斯坦福大学的SIM交换机模拟器，使用C语言编写，可以模拟IQ、OQ等结构的交换机，或者实现定制结构的交换机性能测试。-Stanford SIM switch simulator, written in C, can simulate switch IQ, OQ and other structures, or switch to achieve the performance test custom structure.
CNN_EXAMPLE
- 改程序来自斯坦福大学的cnn教程。帮助理解cnn的构造过程。赞- U6539 u7A0B u5E8F u6765 u81EA u65AF u5766 u798F u5927 u5B66 u7684cnn u6559 u7A0B u3002 u5E2E u52A9 u7406 u89E3cnn u7684 u6784 u9020 u8FC7 u7A0B u3002 u8D5E UFF01 uFF01 uFF01
CVX
- 斯坦福工具箱 压缩感知 凸优化算法 必备 完整凸优化算法(Standford toolbox, compressed sensing, convex optimization algorithm, necessary complete convex optimization algorithm)
stereo_mrf-master左右图作业
- 斯坦福大学概率图模型课程作业，利用马尔科夫随机场进行图像分割，能运行，附有英文说明文档(Stanford University Probability Chart Model Assignment, using Markov random field for image segmentation, operation, with English documentation)
机器学习第二次实验
- 机器学习第二次作业实验二，通过MATLAB编程，运用牛顿法收敛速度快，可用(Machine learning second job experiments two, through MATLAB programming, the use of Newton method, fast convergence.)
ROS机器人程序设计
- ROS是一个机器人软件操作平台，前身由斯坦福大学(Stanford Artificail Intelligence Laboratory)所研发。它提供一些标准操作系统服务，目前主要支持Ubuntu操作系统。ROS可分为两层，低层是操作系统层，高层是实现不同功能的软件包。(ROS is a robot software operating platform, the predecessor by the Stanford University (Stanford Artificail Intel