Github Deep Learning Projects

Open source machine learning tools also allow you to migrate learning, which means you can solve machine learning problems by applying other aspects of knowledge.

This article is by no means comprehensive, but rather highlights the pitfalls we have seen over and over. For example, we won't talk about how to choose a good project. Some of our recommendations are generally applicable to machine learning, especially for deep learning or reinforcement learning research projects.

Start-up company Rare Technologies recently released a hyperscale machine learning benchmark that focuses on GPUs and compares the performance of machine learning costs, ease of use, stability, scalability and performance with several popular hardware providers.

The development of spark for a platform with considerable technical threshold and complexity, spark from the birth to the formal version of the maturity, the experience of such a short period of time, let people feel surprised. Spark was born in Amplab, Berkeley, in 2009, at the beginning of a research project at the University of Berkeley. 　　It was officially open source in 2010, and in 2013 became the Aparch Fund project, and in 2014 became the Aparch Fund's top project, the process less than five years time. Since spark from the University of Berkeley, make it ...

This article is the 1th of 4 posts in the "Becoming a PHP Professional" series. When browsing various PHP-related blogs, such as Quora, Google Groups, newsletters, and magazines, I often notice the level of skill differentiation. The question is similar to "How do I connect to the MySQL database?" Or how do I extend my messaging system to send more than 10,000 messages per hour without introducing new servers? "I divide PHP capabilities into 4 levels, which may apply ...

R is a GNU open Source Tool, with S-language pedigree, skilled in statistical computing and statistical charting. An open source project launched by Revolution Analytics Rhadoop the R language with Hadoop, which is a good place to play R language expertise. The vast number of R language enthusiasts with powerful tools Rhadoop, can be in the field of large data, which is undoubtedly a good news for R language programmers. The author gave a detailed explanation of R language and Hadoop from a programmer's point of view. The following is the original: Preface wrote several ...

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall preface specific an SEO data analysis article has been separated for a long time, today a friend asked me online, How to maintain the thesaurus. Just take this opportunity to talk about this problem. After acquiring a large number of keywords, first of all to deal with these words, in my actual work, summed up the following items ...

Why let Hadoop combine R language? R language and Hadoop let us realize that both technologies are powerful in their respective fields. Many http://www.aliyun.com/zixun/aggregation/7155.html "> developers will ask the following 2 questions at the computer's perspective. 　　The problem 1:hadoop family is so powerful, why do you want to combine R language? Problem 2:mahout can also do data mining and machine learning, ...

According to foreign media reports, "Connection" magazine recently wrote an analysis of Apple's new programming language Swift many advantages. The article said that because the language is easy to use, absorbing the strengths of compiled and interpreted languages, and backed by many Apple products, the popularity of Swift makes other languages ​​unmatched. According to foreign media reports, "Wired" magazine recently wrote an analysis of Apple's new programming language Swift many advantages. The article said that because of the language easy to get started ...

Just on the Quora saw a similar question, "How to grow into a top coder within three years?" "The first answer is a portrait (NAO) person (dong) deep (da) province (Kai) comics, share to everyone: the landlord simple translation as follows: Days 1-10 self-study variables, constants, arrays, strings, formulas, declarations, functions ... Days 11-21 self-study process, pointers, references, classes, objects, inheritance, polymorphism ... Days 22-697 do a lot of entertaining programming. In the ...