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Kang model sc1080
本构方程，用于高温粘塑性模型。的的疯狂了开发法公关部发的风风光光(umat ffgdkfjoiefkdfj)
- 2017-11-22 17:53:20下载
- 积分：1
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python爬虫完整课件详细教程
python爬虫完整课件详细教程
- 2020-12-08下载
- 积分：1
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opencv边缘检测简单例子
opencv边缘检测简单例子，采用sobel算子、canny算子、laplace算子。
- 2022-08-11 05:36:25下载
- 积分：1
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xtt-face-0.0.2
说明： java 调用人脸识别，进行了封装，请解压内部文件，然后进行反编译jar(java call opencv Call face recognition, encapsulate, decompress internal files, and decompile jar)
- 2020-06-23 12:00:02下载
- 积分：1
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好例子网_pareto前沿面
说明： 其中x是任何一个大于xmin的数，xmin是X最小的可能值（正数），k是为正的参数。帕累托分布曲线族是由两个数量参数化的：xmin和k。(Where x is any number greater than xmin,xmin is the smallest possible value of x (positive), and k is a positive parameter the Pareto family of distribution curves is parameterized by two quantities :xmin and K)
- 2020-12-13 22:01:13下载
- 积分：1
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百度人脸识别
百度人脸识别，能识别出两张图片中的人脸的相似度，辨别出是不是同个人。(Baidu face recognition, can recognize the similarity of faces in two pictures, to distinguish whether it is the same person.)
- 2020-06-25 01:20:02下载
- 积分：1
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prophet代码+学习
【实例简介】
- 2021-08-06 00:31:02下载
- 积分：1
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Python神经网络编程.pdf+代码
本书首先从简单的思路着手，详细介绍了理解神经网络如何工作所必须的基础知识。第一部分介绍基本的思路，包括神经网络底层的数学知识，第2部分是实践，介绍了学习Python编程的流行和轻松的方法，从而逐渐使用该语言构建神经网络，以能够识别人类手写的字母，特别是让其像专家所开发的网络那样地工作。第3部分是扩展，介绍如何将神经网络的性能提升到工业应用的层级，甚至让其在Raspberry Pi上工作。(This book begins with a brief introduction to the basics necessary to understand how neural networks work. The first part introduces the basic ideas, including the basic mathematical knowledge of the neural network, the second part is the practice, introduces the popular and easy way to learn Python programming, so as to gradually use the language to construct neural networks to recognize human handwritten letters, especially to make them as well as the network developed by experts. Do. Part 3 is an extension of how to improve the performance of neural networks to the level of industrial applications, and even let them work on Raspberry Pi.)
- 2018-10-16 11:05:31下载
- 积分：1
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ThirdSoftVectorRegression
说明： soft vector regression example
- 2020-06-19 02:00:01下载
- 积分：1
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统计学习方法(李航)
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.)
- 2020-06-20 11:20:02下载
- 积分：1
