Why Use Deep Learning

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.

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.

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.

Find latest articles about machine learning.

The past spring Festival has allowed programmers to have a rare holiday break, but artificial intelligence in the holiday has been improving, we saw the Facebook AI director Yann LeCun, the Hong Kong University of Science and Technology, Director of the Department of Computer and Engineering Yangqiang and other artificial intelligence Daniel's cool thinking about the upsurge of artificial intelligence, Google has also seen the development of artificial intelligence gaming systems that transcend human levels in specific conditions. 　　Here's a look at the new Year's inspiration from Daniel's artificial intelligence. Yann LECUN:IBM True North is "the straw race science" ...

The scarcity of machine learning talent and the company's commitment to automating machine learning and completely eliminating the need for ML expertise are often on the headlines of the media.

At the heart of machine learning is "using algorithms to parse data, learn from it, and then make decisions or predictions about something in the world." This means that instead of explicitly writing a program to perform certain tasks, it is better to teach the computer how to develop an algorithm to accomplish the task.

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Online education is in full swing, and traditional educational institutions are trying to cut through different paths, on the macro level, there are two schools: with internal incubation, external investment, such as the layout of pure online/mobile tools, refactoring learning methods; the other is to integrate offline content, teachers ' resources and improve the efficiency of operation management with O2O way. Different routes, reflecting the different thinking in the face of online education. The introduction of e-learning, the old personalized counseling institutions to learn large education is a typical case of the second school, recently in the Education Professional Media network held online activities, "they" on, learning the CEO jinxin with independent speech ...