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基于RBF的网络最小参数学习法的机械手自适应控制
- 基于RBF的网络最小参数学习法的机械手自适应控制 matlab仿真程序(Matlab simulation program for self-adaptive control of manipulator based on RBF network minimum parameter learning method)
org.eclipse.jface.text_3.5.0.jar
- 机器学习做代码推荐的插件应用时可能会用到的相关的代码包(the file i upload is about the deep lerning and machine learing,i hope that will help more people ,please let me pass ,i need other jar to do my work,thanks)
whaseanalysislock
- 聚类算法的源码,主要用于无指导方式下的机器学习()
Pattern Recognition And Machine Learning
- 机器学习的经典书籍,适合研究生学习的书。非常经典,值得下载(The classical books of machine Learning are suitable for postgraduate study. It's very classic and worth downloading.)
805180
- MIPT El Judge的解题表格 包含大量的思路说明和部分代码 能帮助OIer和ACMer学习()
aaduqf1
- 基于ausm格式的欧拉方程求解程序,附带有naca0012的翼型数据,是学习计算流体力学的好例程,费尽心思编写的,注释多多()
TicTacToc
- 基于强化学习的三子棋程序,通过学习,人机对战时电脑可立于不败之地。(Learning by reinforcement learning based on man-machine chess program, computer can be in an invincible position in wartime.)
深度学习的基本理论与方法
- 这份ppt详细描述了深度学习德基本理论和方法,对deep learning的初学者有很大帮助.(This ppt describes in detail the basic theories and methods of deep learning, which is very helpful for beginners of deep learning.)
神经网络与深度学习中文版
- 人工智能学习,内容比较好,适合初学者,而且讲的非常的浅显易懂(=AI is good at learning and content. It is suitable for beginners, and it is very easy to understand.)
深度学习
- 深度学习相关理论与应用 深层网络介绍及应用(Theory and implementation of deep learning)
ImprovedDL
- 字典学习中的ksvd算法,内含全面的字典学习算法。(the KSVD algorithm of dictionary learning. this rar contains a all of the algorithms related to the KSVD.)
cxvdu
- 本程序实现了红黑树的插入,删除等算法,学习红黑树的可以下载看看,很有价值哦!()
9066278
- 三次样条插值函数,非常有用的程序代码,可以学习一下三次样条插值的思想()
2647619
- 吃豆子游戏的源代码, 嘿嘿,这个游戏本身就很好玩,别只顾着玩,忘记学习哦, 提示: 这个游戏比较大,我们打开VB工程组文件PAC()
short
- 短期负荷预测的集成改进极端学习机方法,能有效提高预测(Short-term Photovoltaic Generation Forecasting Based on Similar Day Selection and Extreme Learning Machine)
ex2--finished
- 吴恩达机器学习第二个编程练习,使用octave语言练习。(Coursea--meachine learning!)
ex3--finished
- 吴恩达机器学习第一个编程练习,使用octave语言练习。(Coursea---machine learning!)
花书
- 深度学习是机器学习的一个分支,它能够使计算机通过层次概念来学习经验和理解世界。因为计算机能够从经验中获取知识,所以不需要人类来形式化地定义计算机需要的所有知识。层次概念允许计算机通过构造简单的概念来学习复杂的概念,而这些分层的图结构将具有很深的层次。本书会介绍深度学习领域的许多主题。(Deep learning is a branch of machine learning. It enables computers to learn experience and understand the
TensorFlow
- 深度学习实战——黄文坚,tensorflow实战教程,通俗易懂(Deep study in real war -- Huang Wenjian)
SaDE-ELM
- 本代码主要是实现超限学习机,以达到在机器学习领域的快速回归(This code is mainly to achieve overrun learning machine, in order to achieve rapid regression in machine learning field.)