Deep Learning is being picked up a lot of companies these days. With its proven record of optimizing complex operational procedures while also making highly accurate strategic predictions has compelled business leaders to start using Deep Learning everywhere they can. Computers have always been very fast but they aren’t all that smart. Deep learning, however, takes a whole different approach to solving this problem. It is built on technology that mimics the complex architecture of our own brains to sort and process information. The complex neural network layers of the layout allow Deep Learning solutions to process data with very high refinement and in relatively very less time.
Google, being the biggest player of data in the game, was able to identify the excessive benefits of Deep Learning early on. The first public disclosure of Google’s involvement with Deep Learning came in 2011 with the announcement of the Google Brain project. Since then, Google has come a long way in integrating deep learning into its own systems as well as building platforms for others to do the same as well. Here are 4 ways the tech giant is using Deep learning:
1. Image recognition
One of the first practical used Google found for Deep Learning was recognizing images across the web.It is used to sort the billions of images uploaded on websites that Google indexes. The images are classified according to their content and put into several category buckets that are then referenced when returning a search result. The latest work in image processing by Google is called Image Enhancement. By using Deep Learning, it allows for the filling in of missing parts and details of a picture by extrapolation.
2. Language Processing
Semantics has always been a tricky business for computers. Deep Learning is, however, providing Google the elementary blocks for building a system that can actually understand what we are talking about. The speech recognition of the Google Assistant AI is built on Deep learning algorithms to understand the context of your speech and respond to commands made in day-to-day language as well. The whole system was recently rewritten to run on a new platform called Google Neural Machine Translation, moving everything to a deep learning environment.
3. Google Cloud Video Intelligence
While not as well known as its other products, Cloud Video Intelligence is a unique product. It allows video analytics, a feat that usually required a lot of manpower to be automated.Google wants to help solve one of the biggest problems facing every organization that generates video—there are too many files and not enough time or people to optimize the value that’s sitting in the content. Videos stored on Google’s servers can be segmented and analyzed for content and context, allowing automated summaries to be generated, or even security alerts if the AI thinks something suspicious is going on.
4. Content Recommendation
A relatively more common use of Deep Learning, Google offers recommendations to users on YoutTube based on their own likes, interests and viewing behavior. Using Google Brain Technology, Google monitors our viewing habits to deliver us content we would like to see. By ensuring viewers are recommended videos they are likely to watch next, Google makes sure that its AD revenue keep running in.
Google has proved that it deserves the crown of the king of Tech by building and deploying technology that has changed the world many times over. It’s search engine and android platform has brought about unprecedented advancement in many fields. Deep Learning too is expected to bring amount similar benefits to Google as a company and society as a whole.