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人工智能下载列表 第2858页

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[深度学习] Probability and Random Processes

说明: This book is intended to be used as a text for either undergraduate level (junior/senior) courses in probability or introductory graduate level courses in random processes that are commonly found in Electrical Engineering curricula. While the subjec
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[深度学习] Random Processes in Systems

说明: I wrote these notes as I was teaching the course in Fall 2005 to a class of bright and inquisitive students at Berkeley. I had the great luck of having Antonis Dimakis as a teaching assistant for the class. Antonis has an unusually deep understandin
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[深度学习] Introduction to Random Processes

说明: 该文档主要是对随机过程的理论进行一个系统的介绍,对于入门者来说是本不错的书籍
<alladins> 在 上传 | 大小:4194304

[机器学习] Introduction to Bayesian Statistics

说明: This course was originally developed by Dr Wayne Stewart (formerly of The University of Auckland) and was rst oered in 2009 (Figure 1.1). I joined the Department of Statistics in July 2012 and took over the course from him. It was good fortune for m
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[机器学习] 降维工具箱

说明: 包含PCA, LLE, MDS, Isomap,KPCA,KLDA, MCML等 20几种降维方法的matlab代码,里面有说明
<neongod111> 在 上传 | 大小:1044480

[深度学习] 深度学习工具箱

说明: 有BP神经网络,卷积神经网络,自编码器等深度学习的matlab代码,包含数据
<neongod111> 在 上传 | 大小:14680064

[机器学习] 神经网络29个案例及代码

说明: 文件包括29种神经网络的案例的matlab代码,包含数据,可以直接运行
<neongod111> 在 上传 | 大小:5242880

[机器学习] 采用KNN分类器进行分类

说明: 用matlab写的代码,采用KNN实现多分类,代入数据就可以成功运行!
<neongod111> 在 上传 | 大小:2048

[深度学习] 自动聊天数据,机器人聊天数据,MySql数据

说明: 这是有2万条智能聊天数据的sql语句,包含了基本的日常对话、谚语、成语等对话。聊天机器人使用
<lwpoor123> 在 上传 | 大小:1048576

[机器学习] xgboost 导读+PPT+博客

说明: xgboost导读和实战
<guvsta> 在 上传 | 大小:3145728

[机器学习] (人工智能+安防)2018最新版行业报告

说明: 本报告所采用的数据均来自网络资料、厂商资料、研究报告等已公开的资料。安天下对该信息的准确性、完整性或可靠性作尽可能的追求但不作任何保证。本报告为提供信息而发放,概不构成任何广告。
<gucashhc> 在 上传 | 大小:6291456

[深度学习] disco GAN论文

说明: While humans easily recognize relations between data from different domains without any supervision, learning to automatically discover them is in general very challenging and needs many ground-truth pairs that illustrate the relations. To avoid cos
<weixin_35686558> 在 上传 | 大小:1048576
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