Data For Deep Learning

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.

We compare deep learning with machine learning and discuss their differences in all aspects. In addition to the comparison of deep learning and machine learning, we will also study their future trends.

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.

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.

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 ...

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 ...

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 ...

Now we are in an era of big data, but I think everyone is very clear now that this big data does not mean really great value. To get the value in the data, we must conduct effective data analysis. Today, we have to use computer to analyze data, we must have machine learning.

"Editor's note" At present, the major technology giants, including Google, Microsoft and so on are vigorously developing in-depth learning technology, through various ways to dig deep learning talent, Mark Zuckerberg appointed Yann LeCun as director of the Facebook Artificial Intelligence Laboratory. These High-tech companies are exploring a special form of depth learning-convolution neural networks, which lecun more than others for visualizing convolution neural networks. The following is the original: Mark Zuckerberg carefully selected in-depth learning expert Yann LeCun as Faceboo ...

Artificial intelligence has entered everything – from autonomous cars to automatic emails to smart homes. You seem to get any merchandise (such as medical health, flight, travel, etc.) and make it smarter through the special application of artificial intelligence.