搜索资源列表
ga_and_hopfield
- 机器学习及神经网络的算法，具体解决经典的HOPFIELD模型，在TSP问题中可以加速解的收和快速求解。-arithmetic for machine learning and neural net,mostly for HOPFIELD modal of TSP problem
5
- Machine Learning in Computer Vision - N. SEBE-Machine Learning in Computer Vision- N. SEBE
Csharp-libsvm
- 关于libsvm的CSharp代码，利用c#实对支持向量机的学习-About libsvm of CSharp code to use c# real pairs of support vector machine learning
Learning-Library-for-PHP-master
- it is a machine learning for PHP.
机器学习实战及配套代码
- the code of Machine learning and actual combat
machine-learning-ex3
- machine-learing-ex3题目(machine-learing-ex3 some questions)
MLpdf
- machine learning is perfect
lec1
- Machine Learning Basics
Machine learning
- Supervised learning ML
斯坦福大学机器学习课程个人学习笔记（上）
- 机器学习很好的资料，对于任何专业的学生都适用(Machine learning very good information for any professional students are applicable)
DeepSpeech-master
- Project DeepSpeech is an open source Speech-To-Text engine. It uses a model trained by machine learning techniques, based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow project to make the implementation easier.
Machine+Learning+in+Action
- 这是一本不错的深度学习资料,想要学习深度学习的千万不要错过(This is a good resource for deep learning)
fdfg1 (1)
- The machine learning algorithm and the Python practice series mainly refer to the book "machine learning real battle"
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!)
machine-learning-ex4
- 吴恩达机器学习课程源码，第四个练习作业代码！(Wu nda machine learning course source code, the fourth practice code!)
machine-learning-ex5
- 吴恩达机器学习课程源码，第五个练习作业代码！(Wu nda machine learning course source code, fifth practice code!)
1
- 机器学习应用到毫米波和MIMO方面的论文，附带matlab程序！(Machine learning inspired energy-efficient hybrid precoding for mmWave massive MIMO systems)
Pattern Recognition and Machine Learning中文版
- 模式识别与机器学习中文版，非扫描版，清晰(pattern recognition and machine learning)
machine-learning-ex6
- 吴恩达机器学习作业源文件练习4 配套机器学习课程使用(machine learning document)
TensorFlow
- 白化深度学习与Tensorfolw，很好的机器学习入门书籍。(White Deep Learning and Tensorfolw are good introductory books for machine learning.)