Author's bio: I am a Mechatronics and Control Engineer and a part-time hobbyist, who believes that only research & technology can make this world a better place.The Obico team was the first to offer AI for 3D printing failure detection back as early as 2019. Since then, our AI has watched over 80 million hours of 3D printing and caught almost one million 3D printing fialures. Over the years, we have continued to improve our initial webcam based failure detection product and worked on a variety of new projects like our recent first-layer AI inspection that is currently in alpha testing.
This article is the first in a series on AI. In this series, we will discuss some of the basics in AI and how it can be applied to 3D printing.
Today, we will talk about the introduction and workings of deep learning. It is the era of technology, we see better interaction with machines every day. These machines are now capable of providing many services that were once totally expected from human beings. Almost all of these tasks are directly or indirectly connected with the advancement of deep learning.
Deep learning is the branch of machine learning that is capable of learning complex patterns of data presented in the form of networks. Nowadays, Deep learning is one of the most demanding fields because of the rapid growth in research and experiments on it. People are now more aware of deep learning and the reason is, deep learning is not only limited to higher-level technology, but the common devices also have their applications in it. This article is based on an introduction, basic information, and workings of deep learning, along with its applications. So we will start with the introduction.
