Deep Learning

Currently, deep learning is in the field of artificial intelligence (AI). While computers are getting faster and faster, they aren't very efficient - not compared to the human brain, at least. With computers behind us, humans cannot learn from mistakes and the fact that they need someone to give instructions on exactly what to do, when, and how to do it. . .

Deep learning, the technology behind speech and image recognition, changed everything and is used in many applications today. This is a look at how one of the pioneers of deep learning, Google, is using it in many products and services to improve its customer offerings and business performance.

How Google Uses Big Data

Google first explored the possibility of deep learning in 2011, through the Google Brain project. The following year, the company announced that it had succeeded in building a neural network capable of replicating human cognitive processes. Running on an incredible 16,000 computers, the system studies 10 million images and learns to recognize cats in photos. It might not sound exciting, but it's a huge step forward in deep learning.

Google demonstrated the importance of deep learning in its business through the 2014 acquisition of Deep Mind, a deep learning specialist based in the UK. The pioneering work successfully combined neuroscience research with machine learning techniques, resulting in systems that behave like "real" intelligence (i.e. the human brain).

Google's first use of deep learning was in image recognition, where it was used to process millions of internet images and categorize them precisely based on their content, in order to return better search results. Now, Google's use of deep learning and image analysis has expanded to image optimization. A system can fill in or restore missing details in an image, just by learning from what's present in the image, and what it's learned from other similar images.

In the field of video analysis, Google Cloud Video Intelligence has opened video analysis technology to a wider audience, allowing analysis of videos stored on Google servers based on location and content. This helps to create an automated collection, even a security level when AI detects something back in the video. Language processing is Google's second area of ​​deep learning. Voice recognition Google AI Assistant uses deep learning to understand the commands and questions that are spoken, using the process developed by Google Brain. The Google Translate app also falls under the Google Brain and works in a deep learning environment.

The third key to using deep learning at Google is to provide better video recommendations on YouTube, by learning the behavior and interests of viewers as they share content, and determining what will make them listen. Google already knows from that data that suggesting videos viewers might want to watch again will make them more attractive and keep those ad dollars flowing.

Google's brain is again, well, the main one behind this technology. In other areas of the business, Waymo, Google's self-driving car division, uses deep learning algorithms in its self-driving systems, to enable self-driving cars to better analyze objects. doing around them and repeating it. And Deep Mind is currently working on health services, using deep learning techniques to detect early signs of toxic tissue growth and eye damage. Technical details

In deep learning, neural networks are built to improve the way the human brain organizes and processes information. The term "deep" refers to the use of multiple neural networks, layered on top of each other. This data processing method is called "deep neural network". The complexity of a deep neural network means it can process information better than other AI technologies that come before it. Ideas and ideas you can steal

Google is a pioneer in deep learning and there is no doubt that the company has helped make the technology accessible to a wider audience. Deep learning holds great promise and is expected to make great strides in the next few years in almost every field and industry. The music foundation laid by Google will play a big role in the future.