资源列表
Irisflower-class-code
- 实验将Iris花的数据集分为2组,每组各75个样本,每组中每种花各有25个样本。其中一组作为以上程序的训练样本,另外一组作为检验样本。为了方便训练,将3类花分别编号为1,2,3 。 使用这些数据训练一个4输入(分别对应4个特征),3输出(分别对应该样本属于某一品种的可能性大小)的前向网络。(The data set of Iris flower was divided into 2 groups, 75 samples in each group. Each group had 25 sam
作业数据---machine-learning-master
- machine learning作业数据(machine learning homework)
张_数据挖掘原理.pdf
- 这是一个数据挖掘的学习资料,我感觉这个资料的内容很详细,很好(This is a data mining study)
机器学习笔记.pdf
- 这个是我在别的网站上找到的机器学习笔记,感觉还可以,就分享了(this is a book about machine learning)
Pattern_Recognition_and_Machine_Learning
- 模式识别和机器学习中文版,最经典权威的机器学习教程。(Pattern Recognition and Machine Learning)
C1W2L11
- deeplearning.ai 基本的神经 网络编程 对数几率回归(deeplearning.ai Basics of Neural Network Programming Logistic Regression)
DeepLearning15May2014
- a paper of deep learning
decision_tree
- 机器学习/python入门项目三:决策树(Machine Learning / Python Getting Started Project 3: Decision Trees)
kmeans
- 机器学习/python入门项目五:k均值(Machine learning / python entry project five: k means)
图像重建反投影、滤波反投影matlab仿真程序
- 图像重建反投影、滤波反投影仿真,如果有需要的话,可以详细我的。(Image reconstruction backprojection and filtering back projection simulation)
deep learning
- 系统全面讲解了深度学习,有助于适合初学者学习。(Suitable for beginners)
demos
- 采用了遗传算法进行神经网络的优化,避免了神经网络容易陷入局部最小的问题,大大提高了接地选线的准确性。(Genetic algorithm is used to optimize neural network, avoiding the problem that neural network is easy to fall into local minimum, which greatly improves the accuracy of grounding selection.)