reference: The MIX Computer, The MIX Introduction sets, The basic info storage unit in MIX computer is the byte, which stores positive values in the range of 0 to 63. In MIX, Byte only has 6 bytes, and the word Byte refer to MIX 6-byte. A MIX word is…
Something on RoIAlign --- basic introduction and implementation 2018-10-22 22:40:09 Paper: Mask RCNN Code: https://github.com/longcw/RoIAlign.pytorch Blog: 1. https://www.cnblogs.com/wangyong/p/8523814.html 2. https://blog.csdn.net/JNingWei/article/d…
http://www.ruanyifeng.com/blog/2011/09/restful.html…
任何看过MobileNet架构的人都会遇到可分离卷积(separable convolutions)这个概念.但什么是“可分离卷积”,它与标准的卷积又有什么区别?可分离卷积主要有两种类型: 空间可分离卷积(spatial separable convolutions) 深度可分离卷积(depthwise separable convolutions) 空间可分离卷积 从概念上讲,这是两者中较容易的一个,并说明了将一个卷积分成两部分(两个卷积核)的想法,所以我将从这开始. 不幸的是,空间可分离卷积…
Preparation of the Lab Environment: Download and Install Pan-OS from the following website https://docs.gns3.com/appliances/pan-vm-fw.html or https://me.csdn.net/download/hotbrandon URL  https://IP Default Username/Password: admin/admin PAN-OS 8 Conf…
Chapter 1 Introduction 1.1 What Is Machine Learning? To solve a problem on a computer, we need an algorithm. An algorithm is a sequence of instructions that should be carried out to transform the input to output. For example, one can devise an algori…
Machine Learning Algorithms Study Notes 高雪松 @雪松Cedro Microsoft MVP 目 录 1    Introduction    1 1.1    What is Machine Learning    1 1.2    学习心得和笔记的框架    1 2    Supervised Learning    3 2.1    Perceptron Learning Algorithm (PLA)    3 2.1.1    PLA -- "知…
https://www.quora.com/How-do-I-learn-machine-learning-1?redirected_qid=6578644   How Can I Learn X? Learning Machine Learning Learning About Computer Science Educational Resources Advice Artificial Intelligence How-to Question Learning New Things Lea…
Machine and Deep Learning with Python Education Tutorials and courses Supervised learning superstitions cheat sheet Introduction to Deep Learning with Python How to implement a neural network How to build and run your first deep learning network Neur…
Speech and Natural Language Processing obtain from this link: https://github.com/edobashira/speech-language-processing A curated list of speech and natural language processing resources. Other lists can be found in this list. If you want to contribut…
小结: 1. To facilitate communication between processes, most operating systems support Inter Process Communication (IPC) resources, such as pipes and sockets. IPC is used not just for communication between processes on the same system, but processes on…
昨天总结了深度学习的资料,今天把机器学习的资料也总结一下(友情提示:有些网站需要"科学上网"^_^) 推荐几本好书: 1.Pattern Recognition and Machine Learning (by Hastie, Tibshirani, and Friedman's ) 2.Elements of Statistical Learning(by Bishop's) 这两本是英文的,但是非常全,第一本需要有一定的数学基础,第可以先看第二本.如果看英文觉得吃力,推荐看一下下面…
<Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机.神经网络.决策树.SVM.Adaboost到随机森林.Deep Learning. <Deep Learning in Neural Networks: An Overview> 介绍:这是瑞士人工智能实验室Jurgen Schmidhuber写的最新版本<神经网络与深度学习综述>本综述的特点是以时间排序,从1940年开始讲起,到60-80…
<Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机.神经网络.决策树.SVM.Adaboost 到随机森林.Deep Learning. <Deep Learning in Neural Networks: An Overview> 介绍:这是瑞士人工智能实验室 Jurgen Schmidhuber 写的最新版本<神经网络与深度学习综述>本综述的特点是以时间排序,从 1940 年开始讲起,到…
转自:机器学习(Machine Learning)&深度学习(Deep Learning)资料 <Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机.神经网络.决策树.SVM.Adaboost到随机森林.Deep Learning. <Deep Learning in Neural Networks: An Overview> 介绍:这是瑞士人工智能实验室Jurgen Schmidhuber写的最…
转载:http://dataunion.org/8463.html?utm_source=tuicool&utm_medium=referral <Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机.神经网络.决策树.SVM.Adaboost到随机森林.Deep Learning. <Deep Learning in Neural Networks: An Overview> 介绍:这是瑞士人工智…
机器学习(Machine Learning)&深度学习(Deep Learning)资料 機器學習.深度學習方面不錯的資料,轉載. 原作:https://github.com/ty4z2008/Qix/blob/master/dl.md 原作作者會不斷更新.本文更新至2014-12-21 <Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍非常全面.从感知机.神经网络.决策树.SVM.Adaboost到随机森林.Deep L…
<Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机.神经网络.决策树.SVM.Adaboost到随机森林.Deep Learning. <Deep Learning in Neural Networks: An Overview> 介绍:这是瑞士人工智能实验室Jurgen Schmidhuber写的最新版本<神经网络与深度学习综述>本综述的特点是以时间排序,从1940年开始讲起,到60-80…
    Graph-powered Machine Learning at Google     Thursday, October 06, 2016 Posted by Sujith Ravi, Staff Research Scientist, Google ResearchRecently, there have been significant advances in Machine Learning that enable computer systems to solve compl…
原文地址:Complete Guide to Parameter Tuning in Gradient Boosting (GBM) in Python by Aarshay Jain 原文翻译与校对:@酒酒Angie(drmr_anki@qq.com) && 寒小阳(hanxiaoyang.ml@gmail.com) 时间:2016年9月. 出处:http://blog.csdn.net/han_xiaoyang/article/details/52663170 1.前言 如果一直以来你…
如果用的语言是en-US的话,网页加载速度很慢,因为要加载国外镜像或者链接什么的,使用zh-CN就直接加载国内链接或者CDN,速度比较快: --------------------------------------------------------------------------------------------------- 在开发Yii2的情况下,有时候遇到错误的情况下(例如model下面的错误提示信息), 希望提示信息默认为中文,这个时候就需要修改Yii2的默认语言,最直观的方式…
根据<统计学习方法>一书中的描述,条件随机场(conditional random field, CRF)是给定一组输入随机变量条件下另一组输出随机变量的条件概率分布模型,其特点是假设输出随机变量构成马尔科夫随机场. 条件随机场是一种判别式模型. 一.理解条件随机场 1.1 HMM简单介绍 HMM即隐马尔可夫模型,它是处理序列问题的统计学模型,描述的过程为:由隐马尔科夫链随机生成不可观测的状态随机序列,然后各个状态分别生成一个观测,从而产生观测随机序列. 在这个过程中,不可观测的序列称为状态序…
Engish version copied from here Why This Document? As editor of the Jargon File and author of a few other well-known documents of similar nature, I often get email requests from enthusiastic network newbies asking (in effect) "how can I learn to be a…
Hello World ,中文意思:你好,世界.世界上的第一个程序就是Hello World,由Brian Kernighan创作. Hello, world"程序是指在计算机屏幕上输出“Hello,world”这行字符串的计算机程序,“hello, world”的中文意思是“世界,你好”.这个例程在Brian Kernighan 和Dennis M. Ritchie合著的<The C Programme Language>使用而广泛流行.因为它的简洁,实用,并包含了一个该版本的C程…
C++ Core Guidelines September 9, 2015 Editors: Bjarne Stroustrup Herb Sutter This document is a very early draft. It is inkorrekt, incompleat, and pµøoorly formatted. Had it been an open source (code) project, this would have been release 0.6. Copy…
The hardware we rely on is changing rapidly as ever-faster chips are replaced by ever-increasing numbers of cores. As a result, concurrency and parallelism, niche features today, will soon be a basic requirement for most software. Application develop…
awesome-nlp  A curated list of resources dedicated to Natural Language Processing Maintainers - Keon Kim, Martin Park Please read the contribution guidelines before contributing. Please feel free to pull requests, or email Martin Park (sp3005@nyu.edu…
How to Use DTrace to Troubleshoot Java Native Memory Problems on Oracle Solaris 11 Hands-On Labs of the System Admin and Developer Community of OTN by Wang Yu, Vincent Liu, and Gary Wang This lab will introduce the basic concepts of DTrace and provid…
2015-05-26   628   Code-Tuning Techniques    ——Even though a particular technique generally represents poor coding practice, specific circumstances might make it the best one to use.    ——One key to writing effective loops is to minimize the work don…
ref:http://www.coranac.com/tonc/text/asm.htm 23.1. Introduction Very broadly speaking, you can divide programming languages into 4 classes. At the lowest level is machine code: raw numbers that the CPU decodes into instructions to execute. One step u…