![]() ![]() We use a deep learning model called Convolutional Neural Network to classify icon screenshots. If we convert images, voices, or texts into numbers, can a computer recognize the patterns? Of course it can! However, the model is much more complicated. More specifically, this is called linear regression in machine learning.Ī computer can learn number patterns. In machine learning, a is called weight, and b is called bias. Of course you can! You can calculate the values of a and b in the formula of y = ax + b shown in the preceding figure, and then calculate a person's weight based on his or her height. If you are given a lot of height and weight data as well as the height of a single person, can you estimate the person's weight? For example, as early as medieval times, someone estimated the average foot length of all men by measuring the average foot length of 16 men. Humans have long addressed problems based on their experience. Machine learning is the study of computer algorithms that automatically improve based on "experience." What is deep learning? Deep learning is a type of machine learning. How can we implement this technology? This article will reveal the secrets behind the technology:Īs described in the preceding section, this feature is implemented based on deep learning. You can also experience it on the official website: Remember that all recognition tasks are completed by the frontend! When users click, drag, or paste an icon screenshot in a design or any image to upload, they can search for the best matches and the corresponding matching rates. The pull request contributes to a new feature, searching icons with screenshots, based on the deep learning technology. Therefore, last year, I submitted a pull request for Ant Design open-source projects. If users need to look for what they need from hundreds of icons with their naked eyes, the result is a poor user experience. In most cases, the icons do not have a corresponding type field. During the frontend development process, icons of images need to be restored.
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