Cultivate several stages of the evolution of artificial intelligence
In many ways, the performance of artificial intelligence has surpassed humans, which does not mean that artificial intelligence is very smart. On the contrary, in fact, artificial intelligence is silly and naive. If you seriously communicate with it, you will be scared, but if you make a little fraud, it will be revealed. So how does artificial intelligence look very smart? In the following, the author will tell you how the artificial intelligence under supervised learning works.
The protagonist of the story is Xiao A (AI), we let Xiao A learn makeup.
Without any help, the small A makeup has only one step, that is, coloring, so at first, the small A makeup will be painted in solid color. This is because the initialized small A is equivalent to the calculator, you give her an instruction, she outputs a result. You make her make up, she is painted in solid color. As a result, the customer is very dissatisfied. You have to teach Little A to recognize your face first.
·Artificial intelligence start stageThe world in the small A eye is different from us. We can see the color and shape. In the eyes of the small A, there are only 0 and 1 numbers (binary). You can understand that the small A is highly myopic, but you don’t want to wear it. glasses. Therefore, if A wants to recognize his face, he must first abstract his face. For example, a person's mouth is a curve. Small A recognizes the 0, 1 arrangement order corresponding to this curve as the human mouth.
The world of artificial intelligence "in the eye" is a combination of 0 and 1.
The problem is coming again. The curve represents the mouth. The small A sometimes looks at the eyebrows as a mouth. In order to avoid jokes, when you let Xiao A judge whether it is a mouth or not, do not simply use "yes" or "no" as a result. . At this time, you give Xiao A some algorithms, let her input the order of the 0, 1 corresponding to the curve of the suspected mouth into the algorithm, and the final result will show a percentage. When the percentage is greater than 90%, the small A knows the curve. It’s the mouth, then you can make up.
The above is a relatively primitive artificial intelligence, smarter than just starting, but still not smart enough.
·Artificial intelligence development stageXiao A has encountered another problem. Small A has no problem when it comes to makeup for one person, but there are problems with making makeup for many people, because the difference between people is too great. For example, before the makeup of the customer of the cherry mouth, now suddenly came a big mouth customer, Xiao A did not know how to turn it.
so what should I do now? In order for the small A to quickly master the skills, you have prepared a photo of almost all of the human mouth (big data), and then incorporated a bit of animal mouth and other messy photos (negative sample), one Zhang Zhang’s let Xiao A recognize. Little A is right, you encourage her, and if you admit it, you will slap.
Supervised learning
If you think right, you will boast and you will make a mistake. This is supervised learning.
How does small A grow in this process? Remember the algorithm you gave to Little A before. Now there are several values ​​in this algorithm that are very important. These values ​​are weights. When the small A judges whether the photo is a person's mouth, the small A will adjust the weight according to the correct or wrong result until there is no error.
Let Xiao A modify the weight himself is machine learning.
Machine learning
How many photos does Little A want to see? The more the better, and repeat it for her to see. In addition to looking at the photo of the mouth, but also look at the eyes, the nose, but also to show her all the five senses ... so small A can raise the recognition rate to a very high level. When the makeup is given to the customer, the customer will exaggerate A's true intelligence.
The above are the stages to be experienced in the development of artificial intelligence. Of course, it involves a lot of complicated knowledge and technology, and there will be more complicated theories and concepts in the follow-up. I will not delve into it here.
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