I listened to an open class on machine learning many years ago. During the Q&A session, a classmate asked the teacher a question: "What is the relationship between machine learning and deep learning”?
The teacher didn't answer at first, but asked the classmates present. He asked 2-3 questions, but no one could answer them well. I was also a beginner at the time and was confused, and I didn't get the small gifts prepared by the venue.
Later, the teacher explained that "machine learning and deep learning are not sisters, but a relationship of inclusion and inclusion."
This section begins to enter the deep learning part. Before starting, it is necessary to say a little bitArtificial intelligence, machine learning, deep learningThis Three concepts, because it is difficult for many practitioners to explain clearly, let alone beginners.
These three concepts are related to each other: artificial intelligence > machine learning > deep learning, as shown in the figure below (picture source paddle)
relation
Artificial Intelligence is the broadest concept: all technologies related to simulating human intelligence and extending human intelligence can be considered artificial intelligence, which covers computer vision, natural Various areas such as language processing, knowledge representation and reasoning.
Machine learning is a subfield of artificial intelligence: it specifically refers to the technology that enables machines to learn, focusing on allowing machines to learn some rules through data training or the establishment of statistical models. Or experience, it covers many technical algorithms, common ones include decision trees, random forests, etc.
<