CNNpython代码

比较软件界面操作和数据表变化的小工具，快速定位表逻辑(tool which compare interface operation with table change)

进行特征选择，利用权重进行特征选择，代码解释充分(Feature selection is carried out, feature selection is carried out with weight, and the code is fully interpreted.)

通过PYTHON修改inp文件进行全局插入零厚度cohsive单元(Modify the InP file through PYTHON to insert zero thickness cohsive unit globally.)

利用贝叶斯分类器写的垃圾邮件过滤器，准确率达98 (A spam email filter with Naive Bayes. )

本书是计算机视觉编程的权威实践指南,依赖 Python 语言讲解了基础理论与算法,并通过 大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、 立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。(This book is an authoritative guide to computer vision programming, which explains basic theories and algorithms based on the Python language.A large number of examples carefully analyze object recognition, content based image search, optical character recognition, optical flow, tracking, 3D reconstruction,Stereoscopic imaging, augmented reality, attitude estimation, panoramic creation, image segmentation, noise reduction, image grouping and other techniques.)

泰坦尼克号数据的多种方法预测（svm，决策树，随机森林）(Various methods for predicting Titanic data (svm, decision tree, random forest))

FSK调制解调MATLAB源代码，很不错，值得看看(FSK modulation and demodulation MATLAB source code, very good, worth a look)

说明：  机器学习的相关内容，通过数据训练，实现线性回归预测问题。(Through data training, the problem of linear regression prediction is realized.)

说明：  附有论文，交通信号灯识别源程序。采DDPG深度强化学习方法。给出了LOSS损失函数图像(With the paper, traffic signal recognition source program.)

用U-net进行脑部图像多类分割，用keras框架进行实现(U-net brain segmentation keras tensorflow background)