cifar10_cnn

说明：  实现一张图片的识别，其中图片是车标，网络是基于忆阻器的hopfield神经网络(Realize the recognition of a picture)

说明：  视频跟踪是计算机视觉中的一个重要研究方向，有着广泛的应用，如：视频监控，人机交互， 无人驾驶等。过去二三十年视觉目标跟踪技术取得了长足的进步，特别是最近两年利用深度学习的目标跟踪方法取得了令人满意的效果，使目标跟踪技术获得了突破性的进展。本文旨在简要介绍：目标跟踪的基本流程与框架，目标跟踪存在的挑战，目标跟踪相关方法，以及目标跟踪最新的进展等，此次资料能够帮助初学者对于这个领域有一个初步的认识。(Video tracking is an important research direction in computer vision and has a wide range of applications, such as: video surveillance, human-computer interaction, and unmanned driving. The visual target tracking technology has made great progress in the past two or three decades, especially the target tracking method using deep learning in the past two years has achieved satisfactory results, making the target tracking technology a breakthrough. This article aims to briefly introduce: the basic process and framework of target tracking, the challenges of target tracking, related methods of target tracking, and the latest progress of target tracking. This information can help beginners to have a preliminary understanding of this field.)

说明：  计算生态效率，偏向经济，用于对区域经济发展对生态环境的影响研究。(the calculation of ecological efficiency about the affect of economic development)

说明：  python经典教程,想要学习Python脚本语言的可以研究研究(Python course. You can learn more about python.)

说明：  This is tensorflow example source code

共计21页

 1. eclipse上的python项目  2. 基于tensorflow，实现了LeNet-5网络模型，包括对MNIST数据集的预处理、模型搭建和对模型的训练、验证

该资源是关于Python软件的安装环境参考教学文档的(The resource is about the installation environment of the Python software refer to the teaching document.)

说明：  统计学习是计算机及其应用领域的一门重要的学科本书全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、K近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归、与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(Statistical learning is an important subject in the field of computer and application of this book comprehensively systematically introduces the main methods of statistical learning, especially the supervision method of study, including the perception, K neighbor method, naive bayesian method, decision tree, logistic regression, and the maximum entropy model, support vector machine (SVM), promotion methods, the EM algorithm, the hidden markov model and conditional random field, etc.)

说明：  python小技巧让你更快上手python(Tips to get you started faster python)