Deep learning is one of the advanced technologies behind self-driving cars or self-driving programs. This program applies visual data processing from roads, traffic signs, and various other objects that you encounter on the road in real terms. This advanced technology follows the working structure of the human brain where the program technique is very popular among data practitioners and attracts the attention of many people. This happens because deep learning for vision systems is widely applied to high-quality technology products such as self-driving cars.

In addition to these products, deep learning can also be found in everyday products such as the recently developed digital assistant, Google Translate, and smart devices that use voice as a medium to activate it. This technology utilizes the human voice for the process, you can run a system without working on it directly. That way, in addition to saving efficiency, you can also carry out activities at once. Deep learning can mostly be found in applications that already support voice-based programs by analyzing the usage patterns of the application so that they can be used easily.

When studying Artificial Intelligence (AI), you are certainly no stranger to this advanced technology program. Both are interconnected and related to each other. So they both need each other in how it works. AI or Artificial Intelligence requires what is called machine learning. There is machine learning and deep learning that are part of this, part is that AI can see experiences and test new capabilities without the intervention of others.

Deep learning is one part of machine learning that has the function to train basic human instincts on computers. For how it works itself, this program utilizes an algorithm on a computer to group data directly. The grouping of data is meant to be complex data in the form of images, text, or sound. In this way, it is clear where the technology is obtained from and what uses in the mechanism.