工商数据收集

说明：  MTCNN，Multi-task convolutional neural network（多任务卷积神经网络），将人脸区域检测与人脸关键点检测放在了一起，它的主题框架类似于cascade。总体可分为P-Net、R-Net、和O-Net三层网络结构。(MTCNN, Multi-task convolutional neural network (multi-task convolutional neural network), puts face region detection and key point detection together, and its subject framework is similar to cascade. Overall, it can be divided into three layers: P-Net, R-Net and O-Net.)

说明：  LSTM 作为预测模型，使用贝叶斯优化算法来实现股票预测的功能(LSTM as a prediction model, uses Bayesian optimization algorithm to achieve the function of stock forecasting)

可用于vrep仿真平台的python脚本 循迹(Can be used in the vrep simulation platform Python script tracking)

说明：  台湾大学，李宏毅Deep Learning Tutorial入门介绍课件，300页，经典资料， 1小时读懂Deep Learning(Deep Learning Tutorial 300 page ppt)

nao机器人的平衡程序，这是nao机器人比赛用的程序，可以人机互动和演示。(Nao robot balancing process, which is the NAO robot contest with the program, you can interact and demonstration.)

说明：  python入门教材，涵盖了python语言的基础教学，并包括三个联手项目（1，外星人入侵游戏 2，数据可视化 3，Web应用程序）(Python Introductory textbook)

首先通过采集传感器的三种姿态角，有三种姿态角计算出四元数，通过四元数构成旋转矩阵，通过旋转矩阵将地理坐标系下速度转化到机体坐标系下，通过三角函数计算出当前飞行器的侧滑角

随机生成Numpy数据，并转换为栅格数据导入arcgis。

说明：  本书将向您介绍各种有监督和无监督的深度学习算法，例如多层感知器，线性回归和其他更高级的深度卷积和递归神经网络。您还将了解图像处理，手写识别，对象识别等更多信息。(This book will introduce you to various supervised and unsupervised deep learning algorithms like the multilayer perceptron, linear regression and other more advanced deep convolutional and recurrent neural networks. You will also learn about image processing, handwritten recognition, object recognition and much more. Furthermore, you will get familiar with recurrent neural networks like LSTM and GAN as you explore processing sequence data like time series, text, and audio. The book will definitely be your best companion on this great deep learning journey with Keras introducing you to the basics you need to know in order to take next steps and learn more advanced deep neural networks.)