AlexNet

python编程题库，适合新手学习使用，主要是一些练习题(Python Programming Question Bank, suitable for beginners to learn and use, mainly some exercises)

Python编程：从入门到实践Python programming: from the beginning to the practice(Python programming: from the beginning to the practice)

说明：  机器学习是计算机科学与人工智能的重要分支领域. 本书作为该领域的入门教材，在内容上尽可能涵盖机器学习基础知识的各方面。 为了使尽可能多的读者通过本书对机器学习有所了解, 作者试图尽可能少地使用数学知识. 然而, 少量的概率、统计、代数、优化、逻辑知识似乎不可避免. 因此, 本书更适合大学三年级以上的理工科本科生和研究生, 以及具有类似背景的对机器学 习感兴趣的人士. 为方便读者, 本书附录给出了一些相关数学基础知识简介。(Machine learning is an important branch of computer science and artificial intelligence. As an introductory textbook in this field, this book covers all aspects of basic knowledge of machine learning as much as possible. In order to make as many readers as possible understand machine learning through this book, the author tries to use mathematical knowledge as little as possible. However, a small amount of probability, statistics, algebra, optimization, logic knowledge seems inevitable. Therefore, this book is more suitable for undergraduates and postgraduates of science and engineering above the third grade of University, And people who are interested in machine learning with similar background. For the convenience of readers, the appendix of this book gives a brief introduction of some basic mathematical knowledge.)

说明：  通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。感知机的基本形式和对偶形式的实现 Kmeans和Kmeans++的实现 EM GMM高斯混合和GMM+LASSO的实现 实现朴素贝叶斯的基本算法和高斯混合朴素贝叶斯算法 实现决策树的基本算法 实现adaboost基本算法 实现svm基本算法 实现逻辑回归基本算法(By reading the data codes on the Internet, we can process ourselves and try to realize the commonly used machine learning algorithm The realization of basic form and dual form of perceptron Implementation of kmeans and kmeans + + EM GMM Gaussian mixture and GMM + lasso implementation The basic algorithm of implementing naive Bayes and Gaussian mixture naive Bayes algorithm The basic algorithm of realizing decision tree Implementation of AdaBoost basic algorithm Implement the basic algorithm of SVM Implement the basic algorithm of logical regression)

说明：  将原始数据导入，并运用lstm模型进行模拟运算，主要是做预测分析。(The original data are imported and simulated with LSTM model, mainly for prediction and analysis.)

说明：  此代码可以实现图像的去噪和增强,非常的简洁好用(This code is very clear !!!)

说明：  神经网络是一种模拟人脑的神经网络，以期能够实现类人工智能的机器学习 技术。 本书揭示神经网络背后的概念，并介绍如何通过Python实现神经网络。全书 分为3章和两个附录。第1章介绍了神经网络中所用到的数学思想。第2章介绍使 用Python实现神经网络，识别手写数字，并测试神经网络的性能。第3章带领读 者进一步了解简单的神经网络，观察已受训练的神经网络内部，尝试进一步改善 神经网络的性能，并加深对相关知识的理解。附录分别介绍了所需的微积分知识 和树莓派知识。 本书适合想要从事神经网络研究和探索的读者学习参考，也适合对人工智 能、机器学习和深度学习等相关领域感兴趣的读者阅读。(Python Neural Network Programming)

用爬虫爬取江苏大学信息门户的成绩，输入学号密码验证码即可使用(Crawling the achievements of the information portal of Jiangsu University)

用python语言开发的程序，主要用于ABAQUS平台模拟水泥环损坏问题。水泥环采用塑性损伤模型。(The program developed in Python language is mainly used to simulate the damage of cement sheath on ABAQUS platform. Plastic damage model is adopted for cement sheath.)

遗传算法工具箱gabts, 免费下载，资源描述（最少50字。请完善应用资源描述，描述越详细，下载次数越多