搜索资源列表
字典学习
- 一种基于KSVD字典学习的多任务超分辨率图像重构方法,主要解决现有方法在高放大因子下重构图像质量下降比较严重的问题(A multi task super-resolution image reconstruction method based on KSVD dictionary learning is mainly used to solve the problem that the quality of image reconstr
机器学习个人笔记
- 深度学习:一种基于无监督特征学习和特征层次结构的学习方法,此笔记中指出了一些初学者容易犯的错误(Deep learning: a learning method based on unsupervised feature learning and characteristic hierarchy, which points out some mistakes that beginners can make easily.)
学习OpenCV中文版
- openCV学习书籍,比较不错的OpenCV学习书籍(learning OpenCV is a better study book for learn OpenCv!)
机器学习20讲随书源码
- 机器学习20讲随书源码,主要用来对图像进行处理和识别(Machine learning 20, the source of the book, mainly used to process and identify the image)
stm32单片机UCOS操作系统学习代码,创建2个任务
- stm32单片机UCOS操作系统学习代码,创建2个系统任务,演示ucos的运行机制(STM32 microcontroller UCOS operating system to learn code, create 2 system tasks, demonstration of the operating mechanism of UCOS)
深度学习Deep Learning 中文版 2017.3.15
- 深度学习deeplearning 中文完整版 AI入门经典书籍,免费下载(Deep learning, a classic book on Artificial Intelligence, for students and researchers who are suitable for artificial intelligence)
机器学习实战中文+英文pdf文档+配套代码
- 机器学习实战中文+英文pdf文档+配套代码 学习资料(Machine learning and practical Chinese + English PDF documents + supporting code learning materials)
Coursera深度学习笔记v4
- 人工智能大师吴恩达的深度学习课程,整理资料。很好地材料。(Artificial intelligence master Wu Enda's deep learning course, collate information. Good material.)
谈一谈网络编程学习经验
- 网络学习的经验,12344567757585(The experience of network learning)
PYTHON机器学习包
- PYTHON机器学习包,用于PYTHON的人工智能机器学习的包(PYTHON machine learning package)
神经网络与机器学习(原书第3版)
- 神经网络机器学习书籍,可以很好的掌握各种神经网络算法(Neural network machine learning books.Can well master various neural network algorithms.)
机器学习实战 _试读
- 机器学习(Machine Learning, ML)是一门多领域交叉学科,涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为,以获取新的知识或技能,重新组织已有的知识结构使之不断改善自身的性能。(Machine Learning (ML) is a multidisciplinary interdisciplinary subject, involving probability t
机器学习实战
- 机器学习是人工智能研究领域中一个极其重要的研究方向,在现今的大数据时代背景下,捕获数据并从中萃取有价值的信息或模式,成为各行业求生存、谋发展的决定性手段,这使得这一过去为分析师和数学家所专属的研究领域越来越为人们所瞩目。(Machine learning is an extremely important research direction in the field of artificial intelligence. Under
机器学习代码
- ai圣经深度学习github上的源码,希望对大家有用(The AI Bible studies the source code on GitHub)
机器学习神经网络
- 周志华的机器学习书籍中神经网络即bp模型的代码(The code of neural network in machine learning)
Deep Learning(深度学习)学习笔记整理
- 深度学习笔记,需要的可以看看,挺好的。有自己的一些见解。(Deep learning notes, you need to see, it's good. There are some ideas of your own.)
机器学习实战
- 一本关于机器学习的资料书,我使用这本书学习的,很不错,推荐给大家(A book about machine learning, I use this book to learn well, I recommend it to you.)
学习板配套学习例程-2018-01-15更新
- 51初学者学习板的配套程序(51 supporting program for beginners' learning board)
万门大学强化学习算法代码RW模型+TD模型
- 万门大学,强化学习,rw模型算法代码实现, V(CS) = V(CS) + A * ( V(US) * us - V(CS) * cs ) td模型, V(s{t}) = V(s{t}) + a[R(t+1) + rV{S(t+1)} - V{S(t)}](In the intensive learning of the University of Wan men, the RW algorithm, the python i
万门大学强化学习GridEvalu模型GridPolicy模型
- 万门大学,强化学习,Grid_world_evaluation模型算法代码实现, V(S) = V(S) + A * ( R(S) + r*V(new_S) - V(S) ) Grid_world_Policy模型, P(S) = P(S) + A * ( R(S) + r*P(new_S) - P(S) )(In the intensive learning of the University of Wan men,