graph plotter

机器学习的一些常用算法,用python实现的(some algorithms for machine learning)

说明：  编程练习，牛客网，剑指offer编程练习题部分答案(coding exercise, offer coding exercise answer)

根据现有数据对分类边界线建立回归公式，以此进行分类，其核心是通过最优化算法寻找最佳回归系数（权重系数），主要应用于二分类。(Based on the existing data, regression formulas are established to classify the classification boundary lines. The core of this method is to find the best regression coefficients (weight coefficients) through the optimization algorithm, which is mainly used in the second classification.)

说明：  卷积神经网络和循环神经网络被联合起来解决文本分类的问题(Convolutional neural network and cyclic neural network are combined to solve the problem of text classification)

说明：  利用强化学习进行环境交互，选择信道，实现无线网络的资源分配(Using reinforcement learning environment interaction, choose channel, wireless network resource allocation)

机器学习预测分析python程序，很有用的啊，希望对大家有帮助(Machine learning prediction analysis Python procedures, very useful ah!)

gnuradio下ofdm系统的python实现。包括收发路径，fft变换，标准的ofdm程序。(ofdm system under gnuradio achieve python. Including the transceiver path, fft transform, ofdm standard procedures.)

说明：  基于LIDC数据集的肺结节检测算法，用于识别肺部ct图像中的肺结节(Pulmonary Nodule Detection Based on LIDC Data Set)

使用TensorFlow 实现 AlexNet ，并使用 Mnist 数据集进行训练并测试。(AlexNet is implemented using TensorFlow and trained and tested using the Mnist data set.)