搜索资源列表
matlab-course
- Matlab教程，初学者很好的学习材料。拿来分享。-Matlab tutorial for beginners good learning materials. To be shared.
matlab-drawing-course
- M AT L A B拥有大量简单、灵活、易用的二维和三维图形绘图命令,本教程用于学习MATLAB 绘图。-M AT LAB has a large number of simple, flexible, easy to use two-dimensional and three-dimensional graphics drawing commands, the tutorial for learning MATLAB graphics.
stanford-deep-learning-matlab-code
- stanford大学deep learning在线课程课后练习代码，我自己写的，可以参考一下。-Excercise of deep learning online course from http://deeplearning.stanford.edu/wiki. It is written by myself, aiming to help other students who is confused in the course.
Machine-Learning
- 斯坦福大学的Andrew Ng讲述的机器学习课程讲义-Stanford Andrew Ng tells the machine learning course notes
machine-learning-lecture-notes
- andrew ng教授的机器学习讲义，全英文，详细的介绍了斯坦福大学机器学习课程的内容-andrew ng Professor machine learning lectures, in English, a detailed descr iption of the Stanford machine learning course content
note-of-ml
- 斯坦福大学机器学习课程讲义，深入浅出、内容丰富-Stanford university machine learning course notes, simple and rich in content
ex1
- 斯坦福机器学习课程中的linear regression部分练习-Stanford machine learning course in linear regression part of the exercise
ex2
- 斯坦福机器学习课程中的logistic regression部分练习-Stanford Machine Learning course part of the exercise in the logistic regression
ex3
- 斯坦福机器学习课程中的multi-class 部分练习-Stanford machine learning course in multi-class part of the exercise
Neural-Network_Machine-Learning-Course-Stanford.z
- Matab codes for a simple Neural Network, based on Stanford s Machine Learning online course.
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-learning-ex1
- coursera machine learning 课程联系题(course exercise for machine learning taught by andrew ng)
machine-learning-ex7
- 吴恩达机器学习课程，第八周作业，详解如何实现PCA以及kmeans(Andrew NG machine learning course, eighth weeks of assignment, detailed how to implement PCA and kmeans)
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 machine-learning-ex4
- 吴恩达机器学习课程源码，第4个练习作业代码(Andrew machine learning course source code, the fourth practice code)