Jeon Su-jin et al.: This is just the beginning! From computational thinking to artificial intelligence, Python

When you teach a child color, you point to each image and you'll do it in brown, green and yellow. This, with many examples, helps the child learn to color-segulate by repeating visual and language information. Map learning is a way of giving young children color, animal names and telling them what they know, based on knowledge, and giving them the answers and learning computers. Map learning can be divided into two ways: the sequence for predictive and the category for the two labels, depending on the type of data and the above. For example, there are all kinds of ducks in the world, and we put labels on each of these duck images to learn. The data three that you use is called training set. And we can also label the penguin image and learn it. Using so many data, you type in an image with the correct answer, and the computer learns itself by figuring out the characteristics of ducks and penguins, beaks, sizes, wings and feet. So the computer can distinguish a duck from a penguin.

Korean title: 이제 시작이야! 컴퓨팅 사고력으로 인공지능까지 파이썬

Korean author: 전수진 외

Korean publisher: 연두에디션

ISBN-13: 9791192187037