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人工智能下载列表 第3864页

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[机器学习] 贪心算法python实现

说明: 机器学习实习生面试常考的算法——贪心算法, python代码实现,案例+PPT讲解
<weixin_37969624> 上传 | 大小:306kb

[机器学习] 降采样率A加权

说明: vi,NI程序,降采样率A加权,使用NI系统测试时候可以借鉴
<cbachina0> 上传 | 大小:727kb

[机器学习] 香港理工大学静脉图像库

说明: 这是香港理工大学的多光谱图像库中的近红外光手掌图像库,也就是掌静脉图像库,共500人
<qq_24602475> 上传 | 大小:155mb

[深度学习] glove.twitter.27B.200d.txt

说明: GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear su
<guotong1988> 上传 | 大小:768mb

[深度学习] glove.twitter.27B.100d.txt

说明: GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear su
<guotong1988> 上传 | 大小:391mb

[深度学习] glove.twitter.27B.50d.txt

说明: GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear su
<guotong1988> 上传 | 大小:201mb

[深度学习] glove.twitter.27B.25d.txt

说明: GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear su
<guotong1988> 上传 | 大小:104mb

[机器学习] opencv_SLIC.rar

说明: slic源码,需要自己配置opencv环境,工程文件可直接运行
<gbz3300255> 上传 | 大小:12mb

[机器学习] lfda判别法

说明: 机器学习中常用的流行学习算法,对于算法中的各个量都有明确的解释。
<qq_40055922> 上传 | 大小:1021byte

[机器学习] fisher判别分析法

说明: 很好的fisher判别的代码,简单易懂,明确的解释了该算法的原理,对于接触该类的算法有很好的启发。
<qq_40055922> 上传 | 大小:539byte

[机器学习] 30个智能算法word

说明: 30个智能算法word,主要讲述30个智能优化算法。。。。
<qq_40829980> 上传 | 大小:1mb

[机器学习] PCA教程_pdf

说明: PCA是线性代数中最有价值的应用之一。PCA已经被广泛地应用于各种形式地分析——从神经科学到计算机图形学,因为PCA简单易用,是一个非参数的方法(即可通过解析方法求解),可以从混乱的数据集(confusing data sets)中提取相关的信息。通过PCA我们可以将一个复杂的数据集进行降维,揭示隐藏的,简化的结构,使之变得简单且容易分析
<cassiepython> 上传 | 大小:1mb
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