Traditional Culture Encyclopedia - Weather inquiry - What is the difference between artificial intelligence, machine learning and deep learning?

What is the difference between artificial intelligence, machine learning and deep learning?

Nowadays, with the development of the Internet, artificial intelligence has been widely used. Machine learning and deep learning of artificial intelligence have attracted many people to study, and the development trend is still very good.

In a broad sense, artificial intelligence describes various ways in which machines interact with the world around them. Through advanced human-like intelligence-the result of the combination of software and hardware-artificial intelligence machines or devices can imitate human behavior or perform tasks like humans.

Machine learning Machine learning is a way or subset of artificial intelligence, which emphasizes "learning" rather than computer programs. Machines use complex algorithms to analyze large amounts of data, identify patterns in the data, and make predictions-no one needs to write specific instructions in the software of the machine. After mistaking cream puffs for oranges, the system's pattern recognition ability will continue to improve over time, because it will learn from mistakes and correct itself like people.

Deep learning Deep learning is a subset of machine learning, which promotes great progress in computer intelligence. It uses a lot of data and computing power to simulate the deep neural network. In essence, these networks imitate the connectivity of human brain, classify data sets and find the correlation between them. If there is newly learned knowledge (without human intervention), the machine can apply its insights to other data sets. The more data a machine processes, the more accurate its prediction will be.

Summary:

Artificial intelligence is a very extensive problem, and machine learning is an important means to solve this kind of problem. Deep learning is a branch of machine learning. On many artificial intelligence problems, the method of deep learning has broken through the bottleneck of traditional machine learning methods and promoted the development of artificial intelligence. Deep learning enables machine learning to achieve many applications and expand the field of artificial intelligence. Deep learning has achieved various tasks in a devastating way, making all machine-aided functions seem possible. Driverless cars, preventive medical care, and even better movie recommendations are all in sight or about to be realized.