搜索资源列表
stm32-learning
- stm32学习入门资料，分为初级、中级、高级、系统篇，内容齐全，讲解比较到位-stm32 learning introductory information, elementary, intermediate, advanced, system articles, the content is complete, explain more in place
umat-LEARNING
- umat学习资料，方便abaqus二次开发，其实功能很强大，只是编程很费劲，所以分享一下umat学习资料-a file for learning umat
C-language-learning-PPT
- 包含了C语言中几种重要结构的PPT及典型例题的示例。可用于C语言学习和借鉴。-Includes the structure of the C language in several important PPT and examples of typical examples. Can be used in the C language learning and using for reference.
python-code-for-Machine-learning
- 用于机器学习的全方位python代码，包括K-近邻算法、决策树、朴素贝叶斯、Logistic 回归 、支持向量机、利用 AdaBoost 元算法提高分类性能、预测数值型数据：回归、树回归、利用 K-均值聚类算法对未标注数据分组、使用 Apriori 算法进行关联分析、使用 FP-growth 算法来高效分析频繁项集、利用 PCA 来简化数据、利用 SVD 简化数据、大数据与 MapReduce-The full range of python code for machine learning
iterative-learning-control-for-robot
- 实现机器人的迭代学习控制，以及各种改进，得到比较好的效果。每个程序都能运行-Realization of robots iterative learning control, as well as a variety of improvements
iterative-learning-control-for-MIMO
- 多输入多输出系统，通过迭代学习控制算法，实现精确控制-Multiple input multiple output system, through the iterative learning control algorithm, realize accurate control
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
- 周志华老师的西瓜书,买了有一段时间了,内容、排版和印刷都非常不错,值得作为机器学习的系统学习书籍。-Zhou Zhihua teacher of the watermelon book, bought for some time, content, layout and printing are very good, it is worth learning as a machine learning system books
Rtree-learning
- 内含位置节点索引算法的R-tree算法，并提供了pdf文档和ppt便于了解和学习-Intron position node indexing algorithm of R-tree algorithms, and provides a pdf document and ppt facilitate understanding and learning
deep-learning-chinese
- 深度学习最新中文翻译，欢迎大家交流学习！-deep learning in chinese
learning-to-detect-motion-boundaries
- We propose a learning-based approach for motion boundary detection. Precise localization of motion boundaries is essential for the success of optical fl ow estimation, as motion boundaries correspond to discontinuities of the optical fl ow
machine-learning
- 这本书为机器学习书籍，里面有许多机器学习理论介绍和相关源码练习-This book machine learning books, there are a lot of machine learning theory to practice presentations and Related Items
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
Ensemble-Learning
- 集成学习将若干基分类器的预测结果进行综合，具体包括Bagging算法和AdaBoost算法；还有随机森林算法，利用多棵树对样本进行训练并预测的一种分类器-Integrated learning integrates the prediction results of several base classifiers, including Bagging algorithm and AdaBoost algorithm and random forest algorithm, using a t
Stochastic-iterative-learning-controller-with-PID
- This package is useful for control to object by stochastic iterative learning control(ILC) with PID controller.