第一次写这么多英文~~对照双语字幕整理的~~ 这是我很喜欢的一个演讲~~ 让我们一起学英文吧 l  I love learning foreign languages. l  In fact, I love it so much that I like to learn a new language every two years, currently working on my eighth one. l  When people find that out about me, they al

Chapter 2 Learning Java language fundamentals exercises: 1.What  is Unicode? Unicode is a computing industry standard for consistently encoding,representing,and handling text that's expressed in most of world's writing system 2.What is a comment? A c

https://www.ted.com/talks/lydia_machova_the_secrets_of_learning_a_new_language/transcript 00:13I love learning foreign languages. In fact, I love it so much that I like to learn a new language every two years, currently working on my eighth one. When

"Learning a language is easy. Even a child can do it!" Most adults who are learning a second language would disagree with this statement. For them, learning a language is a very difficult task. They need hundreds of hours of study and practice,

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

转自:https://github.com/terryum/awesome-deep-learning-papers Awesome - Most Cited Deep Learning Papers A curated list of the most cited deep learning papers (since 2010) I believe that there exist classic deep learning papers which are worth reading re

    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

DEEP LEARNING WITH STRUCTURE Charlie Tang is a PhD student in the Machine Learning group at the University of Toronto, working with Geoffrey Hinton and Ruslan Salakhutdinov, whose research interests include machine learning, computer vision and cogni

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

It’s been a year since I revealed the best languages to learn in 2013. Once again, I’ve examined the data produced by Jobs Tractor who analyzed more than 45,000 developer jobs advertised on Twitter during the past twelve months. The results: Java 8,7

The Promise of Deep Learning By Yoshua Bengio Humans have long dreamed of creating machines that think. More than 100 years before the first programmable computer was built, inventors wondered whether devices made of rods and gears might become intel

you can find it on YouTube:Learning English with EnglishClass101.com 10 Habits of highly Effective Learners 1. Set small, measurable goals with deadlines small goals: learn 100 words in a month! complete 30 audio lessons in a month (Deadline:Nov 30)

Learning regression and verification networks for long-term visual tracking 2019-02-18 22:12:25 Paper:https://arxiv.org/abs/1809.04320 Code:https://github.com/xiaobai1217/MBMD 一.文章动机: 本文是为了更好的处理长期跟踪问题,而提出一种结合 Regression 和 Classification Network 的跟踪方法

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

this blog from: https://opendatascience.com/blog/notes-on-representation-learning-1/   Notes on Representation Learning By Zac Kriegman, Senior Data Scientist in the Thomson Reuters Data Innovation Lab | 02/07/2017 Tags: Deep Learning , Neural Networ

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

by Jason Brownlee on December 20, 2017 in Better Deep Learning Transfer learning is a machine learning method where a model developed for a task is reused as the starting point for a model on a second task. It is a popular approach in deep learning w

 https://study.163.com/provider/400000000398149/index.htm?share=2&shareId=400000000398149( 欢迎关注博主主页,学习python视频资源,还有大量免费python经典文章)   https://timdettmers.com/2018/12/16/deep-learning-hardware-guide/ 深度学习的完整硬件指南 深度学习是计算密集型的,因此您需要具有多个内核的快速CPU,对吧?或者购买快速C

<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

//字符串的创建 //在可变字符串中 空字符串就有意义 NSMutableString *mString = [[NSMutableString alloc]init]; NSLog(@"mString:%@",mString); //可变字符串不可以与代码区的字符串赋值使用 NSMutableString *mString2 = @"Hello"; //mString2将退化成NSString NSLog(@"mString2:%@",mStr