I understand AI, machine learning, and deep learning (Figure)

God has given humans amazing learning ability. We have been learning complex tasks from birth, such as language and image recognition, and have been constantly revising based on this first learning experience throughout our lives. Later, it seems natural that we use this learning concept to accumulate knowledge, and to be able to build models and predict results, and even apply this concept to computer-related programs and tasks. And these technologies involved in the above calculation process are called "artificial intelligence."

Just a game

In the late 1990s, a decisive moment in the artificial intelligence world came. In 1996, chess master Gary Kasparov played against IBM's "dark blue" computer and won 4-2. A year later, Kasparov and Dark Blue once again played against each other. This time, dark blue laughed to the end. This victory has completely changed the perception of artificial intelligence. Chess masters must constantly perform very complex calculations, considering a variety of different moves and corresponding strategies. They can also learn on their own and create novel moves. If you can imitate this process and even apply it to a special task like chess, it will reveal the true potential of artificial intelligence technology.

一文看懂AI、机器学习、深度学习(图)

Thanks to the above successes, artificial intelligence has continued to evolve and we have entered a mature and cutting-edge stage. Google's DeepMind uses deep learning algorithms. These algorithms are based on the idea of ​​allowing humans to learn neural pathways or networks. Artificial intelligence is once again applied to the game, thinking that it is correct. DeepMind adopted the idea of ​​"human-machine battle", this time challenging a very complicated Go game. DeepMind's description of the game is "the number of pieces in the game is more than the number of atoms in the universe." Therefore, this is the perfect challenge for artificial intelligence technology. DeepMind uses deep learning algorithms to train itself on how to deal with professional players. The company's intelligent Go system is the famous AlphaGo, which has a winning percentage of 99.8% against other Go programs, and has won 5 games and 4 wins in the recent game against Li Shishi.

It seems that this is just a game, but in fact, it proves this technique, showing that artificial intelligence can learn how to build models and predict outcomes like humans. The game with Li Shishi proved that the computer has this ability, and now the artificial intelligence technology is entering a mature stage, and the technology will be applied to solve more realistic problems. After the success of AlphaGo, Google learned about the benefits of these technologies and immediately integrated AlphaGo technology into the company's cloud based on the Google Machine Learning Platfom.

Some definitions in the world of artificial intelligence

In this chapter, we need to pay attention to some terms and definitions of artificial intelligence technology.

We can understand this: deep learning is a branch of machine learning; machine learning is a branch of artificial intelligence.

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