资源列表
117143159Matlabsfjj
- matlab 举例应用，里面含有对遗传算法的代码 -matlab example application, which contains the code of genetic algorithm
boost_1_47_0
- boost_1_47算法包，包括各种实用的图论算法等等。more specific to its use for documenting the Boost C++ libraries-boost_1_47 algorithm package, including a variety of practical graph algorithms, and so on. more specific to its use for documenting the Boost C++ libraries
China45Standard
- 遗传算法解中国45城市旅行商问题，主要是通过在VS2010中使用遗传算法解决中国45城市旅行商问题-Genetic Algorithm for Traveling Salesman Problem China' s 45 cities, mainly through the use of genetic algorithms in the VS2010 solution to China 45 cities traveling salesman problem
Machine learning an algorithmic perspective
- 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 (Machine Learning ML) is an interdisciplinary subject, involving probability and statistics, approximation th
code_AIS
- 由Hiton 的大弟子 略微改写的RBM代码-the original code of RBM coded by a student of Professor Hiton
CodeBin-master
- 小游戏的AI包括贪吃蛇等 各类实现简单的小游戏(Small game AI, including snakes and other types of simple games)
cudnn-7.5-windows10-x64-v5.0-ga
- cudnn 5.0 匹配cuda7.5，安装GPU支持的深度学习的伙伴用得着。这是cudnn的版本5.0，可以配合Cuda7.5使用。(Cudnn 5 matches cuda7.5, and it is useful for GPU to support deep learning partners. This is the version 5 of cudnn, which can be used in conjunction with Cuda7.5.)
ReinforcementLearning
- 这是机器学习里面的强化学习的重要资料，主要介绍了强化学习的基本理论及实验和分析-This is inside the machine learning reinforcement learning important information, which mainly describes the basic theory of reinforcement learning and experimental and analytical
python基础+核心
- PYTHON开发，Python基础和核心资料(PYTHON development, Python foundation and core information)
DCGAN-tensorflow-master
- tensorflow 聚类算法DCSCAN实现python程序。(tensorflow cluster This is python program for a machine learning program)
DCGAN-tensorflow-master
- LINUX平台下，当然也可以在windows平台下运行，DCGAN为卷积下的生成对抗网络，在tensorflow平台的基础上。(LINUX platform, of course, can also run on the windows platform, DCGAN is the convolution generation under adversarial networks, based on the tensorflow platform.)
DCGAN-tensorflow-master
- DCGAN实现高质量图像生成与分类，并增强了系统的稳定性与准确度(DCGAN enables high-quality image generation and classification, and enhances system stability and accuracy)