搜索资源列表
machine-learning-ex1
- matlab NG的机器学习第一节的课后作业答案-matlab NG machine learning Section homework answers
Machine-Learning-in-Action
- Machine Learning in Action详细讲述了机器学习的基本知识和著名的算法。对该书的阅读会让你快速走进机器学习的大门。-Machine Learning in Action in detail about the basics of machine learning algorithms and famous. To read the book you will learn quickly into the machine door.
Neural-networks-for-multi-instance-learning
- Multi-instance learning originates the investigation on drug activity prediction, where the task is to predict whether an unseen molecule could be used to make some drug.-Multi-instance learning originates the investigation on drug activity predicti
Robust-dictionary-learning
- 使用基于稀疏表示和字典学习的图像去噪研究方法，比一般的帧间差分算法等要高效。-Sparse representation and dictionary-based learning denoising methods, than the average frame difference algorithm to be efficient.
Zigbee-learning-40-chapters
- zigbee学习40篇 专注于ZigBee技术！-zigbee learning 40 focused on ZigBee technology!
SRR-based-on-learning-methods
- 基于学习的超分辨率图像重建的硕士论文，一共包含了五篇硕士论文，适合想要了解研究背景的同学-SRR based on learning methods
deep-learning
- 这是一些深度学习的学习资料，希望能够帮助大家。-This is some of the deep learning materials, hope to help everyone.
Q-Learning
- q学习算法的C语言源代码，用在机器人探索未知环境的实例，关于rewards和环境的描述均有注解-q-learning algirethem
Deep-Learning(UFLDL)
- Stanford大学Andrew Ng的Deep Learning(UFLDL)教程中文翻译合集，原网址：http://deeplearning.stanford.edu/wiki/index.php/UFLDL E6 95 99 E7 A8 8B-Deep Learning(UFLDL)Translation Version(Chinese)
machine-learning-video-class-notes
- 斯坦福大学机器学习视频课的讲义，详细讲述了机器学习理论和方法。-Stanford university machine learning video class notes, machine learning theory and method is described in detail.
MATLAB-super-learning-program-code
- matlab时频分析，STFT, CWT，WVD，平滑伪WVD，伪WVD，Rihacazek分布，Margenau-Hill分布，Page分布，伪Page分布，Choi-Williams分布，重排伪Wigner-Ville分布， 重排伪page分布，对时频分析学习的很好资料，对非平稳信号处理有很大帮助，无损检测，振动检测，对学习和处理信号有很大帮助-Matlab time-frequency analysis, STFT, CWT, WVD, smoothed pseudo Wigner Vil
machine-learning-ex1
- 斯坦福大学机器学习第一次作业，可以参考，自己写的-Stanford Machine Learning first job, you can refer to
machine-learning-ex2
- 斯坦福大学机器学习第2次作业 可供参考 100分-Stanford Machine Learning for the second job reference 100
machine-learning-ex3
- 斯坦福大学机器学习第3次作业 可供参考 100分-Stanford Machine Learning 3rd job for reference 100
machine-learning-ex4
- 斯坦福大学机器学习第4次作业 可供参考 100分-Stanford Machine Learning 4th job for reference 100
machine-learning-ex5
- 斯坦福大学机器学习第5次作业 可供参考 100分-Stanford Machine Learning for the fifth job reference 100
learning-OpenCV(chinese)
- 学习opencv中文版，适用于学习opencv的所有人，虽然版本是旧的，但是内容非常丰富-Learning opencv Chinese version for everyone to learn opencv, although the old version, but the content is very rich
Reinforcement-Learning
- 斯坦福大学NG教授的用强化学习控制无人机的文章-Stanford university professor NG with reinforcement learning control of unmanned aerial vehicle (uav)
Bluetooth-learning-materials
- 经典蓝牙学习资料，可用于串行口通信，讲述蓝牙模块的通信原理和编程方法-Classic Bluetooth learning materials can be used for serial communication, Bluetooth module about communication theory and programming methods
computer vision,models ,learning and inference
- source code of computer vision,models,learning and inference.