搜索资源列表
VHDL-learning-course
- VHDL英文精品教程_英語 VHDL學習參考手冊-VHDL learning course VHDL referrence book
verilog-course-design
- 两个关于Verilog语言学习的课程设计，有要求、思路和代码，一个是芯片接口设计，一个是智能烧烤机设计-Two on the Verilog language learning course design, requirements, ideas and code, a chip interface design, a smart barbecue machine design
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
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
- 斯坦福机器学习课程第一次练习代码,所有代码都在压缩文件里，仅供参考，经过提交成功了-code for the first exercise of Machine Learning course of Stanford University
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)
1 Machine Learning Course Matlab Code(1)(1)
- MACHINE LEARNING MATLAB FIRST CODE
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)
machine-learning-ex1
- 吴恩达机器学习课程源码，第一个练习作业代码！(Wu nda machine learning course source code.)
machine-learning-ex2
- 吴恩达机器学习课程源码，第二个练习作业代码！(Wu nda machine learning course source code, the second practice code!)
machine-learning-ex3
- 吴恩达机器学习课程源码，第三个练习作业代码！(Wu nda machine learning course source code, the third practice code!)
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)