Deep Learning Classification

Since 2006, a topic called deep learning in the field of machine learning has begun to receive widespread attention in the academic world. Today it has become a boom in Internet big data and artificial intelligence.

The article is about machine learning, deep learning and AI: What is the difference? When it comes to new data processing techniques, we often hear many different terms. Some people say that they are using machine learning, while others call it artificial intelligence.

Learning methods depending on the type of data, there are different ways to model a problem. In the field of machine learning or artificial intelligence, people first consider the way of learning algorithms. In the field of machine learning, there are several main ways of learning. 　　It is a good idea to classify the algorithm according to the learning style, so that people can choose the most suitable algorithm according to the input data to get the best results when modeling and algorithm selection. Supervised learning: Under supervised learning, input data is called "training data", each group training number ...

Advances in deep learning and related machine learning have played a key role in the recent achievements of artificial intelligence, which have made it unnecessary for computers to explicitly program, but to “absorb and analyze” large amounts of data to complete self-training.

To say deep study, you have to mention Geoffrey Hinton. Who is Geoffrey Hinton? Geoffrey Hinton is a leading figure in deep Learning (deep learning) and one of the world's outstanding researchers in the field of machine learning and artificial intelligence. Geoffrey Hinton is a British http://www.aliyun.com/zixun/aggregation/13592.html "> Cambridge University ...

2014 China Large data technology conference officially fell on December 14, nearly hundred technical experts here to share their latest research and practical results, this article from China Economic Network management consultant Yang, the main interpretation of the relationship between large data and in-depth learning, as well as the future development of industry technology. The following is the author of the original: December 2014 12-14th, sponsored by the China Computer Society (CCF), CCF large data expert committee contractor, the Chinese Academy of Sciences and CSDN jointly co-organized to promote large data research, application and industrial development as the main theme of the 2014 China Big ...

C + + computer vision ccv-based on C language/provides cache/core machine Vision Library, novel Machine Vision Library opencv-It provides C + +, C, Python, Java and MATLAB interfaces, and supports Windows, Linux, Android and Mac OS operating system. General machine learning Mlpack dlib Ecogg Shark Closure Universal machine learning Closure Toolbox-cloj ...

The intermediary transaction SEO diagnose Taobao guest Cloud host technology Hall at present many search engines are the manual compilation of hierarchical theme directory and computer search software to provide keywords such as search methods to complete the Network Information Resources organization task. Yahoo is the typical representative of this class-style theme-Guide search engine. Yahoo's charm lies in its browsable ranking theme index. Based on the theme of the classification index, providing a comprehensive classification architecture, and combining high-quality search software, Yahoo successfully built a unique set of letters ...

This paper raises objections to this view, thinking that machine learning ≠ data statistics, deep learning has made a significant contribution to our handling of complex unstructured data problems, and artificial intelligence should be appreciated.

Machine learning is a multi-disciplinary subject that has emerged in the past 20 years and involves many disciplines such as probability theory, statistics, approximation theory, convex analysis, and computational complexity theory.