资源列表
AR
- AR自回归线性滤波器法模拟风速时程曲线,MATLAB(AR autoregressive linear filter method is used to simulate wind speed time history curve, MATLAB)
elm_kernel
- ELM regression model
MINIST
- mnist库上 应用DBN网络 DBN使用RBM结构,半监督网络,逐层训练(Application on the DBN network)
yuanbao
- 二维元胞自动机 规则:先把中间点置为1,每一时间步对每一点,如果周围八个点和为偶数,则变为0,为奇数则变为 1(Two-dimensional cellular automata)
generative-models-master
- 生成对抗网络中的各种衍生网络结构,包括基础GAN,C-GAN,AC-GAN等等 变分自动编码器各种衍生网络结构,包括条件变分自动编码器等等(Generated in the network against the derivative network structure, including GAN, C-GAN, AC-GAN and so on. The variational autocoder derivative network structure, including con
jd-gui
- 先尝试用最简单的想法去实现排序,以此来比较学习冒泡排序 问题:设有一数组,其大小为10个元素(int str[10])数组内的数据是无序。现在要求我们通过编程将这个无序的数组变成一个从小到大排序的数组(从下标为0开始) 思路:按照题目的要求,毫无疑问,正确的结果应该就像这样: 1 2 3 4 5 6 7 8 9 10 要做到这样,最简单和最直接想到的方法就是进行对比交换。 首先,把10个数里最小的个数放到下标为0的位置上(str[0]) 通过将下标为0的数(str[0
kalman
- 3轴、6轴、9轴陀螺仪传感器,差分精确算法,得出稳定准确的角度(3 - axis, 6 - axis, 9 - axis gyroscope sensors, differential precise algorithm, to get a stable and accurate angle)
匈牙利
- 匈牙利算法,用于求解二分图的匈牙利算法,里面包含量两种求解方法,希望对大家有用。(Hungarian algorithm can be used to solve the bipartite matching problem , but it requires the bipartite graph to be completely symmetric. Hence we need to transform the original non-symmetric binary map matchi
机器学习实战.pdf
- 一本适合机器学习入门的书籍,包含大量流行的机器学习算法和python实现(A book suitable for machine learning, including a large number of popular machine learning algorithms and python implementation)
Untitled-1
- 观察高斯分布的变化情况,调节参数可以看到函数的变化趋势和图像的走势,确定参数的敏感程度。(Observe the change of gaussian distribution.)
lisa-caffe-public-lstm_video_deploy
- 深度学习,循环神经网络LSTM,常用于语音识别,翻译,预测等(Deep learning, recurrent neural network LSTM)
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.)