Everything You Need To Know About Deep Learning

Technology has become an integral part of industries across the globe. You must have come across numerous news pieces that tell how large enterprises are leveraging the powers of deep learning and artificial intelligence. Companies today integrate deep learning methods into their existing systems and business operations. Beyond business intelligence, modern enterprises are marketing with deep learning while also seamlessly integrating deep learning methodologies into other business processes. 

If you are just getting familiar with AI, it is good to start with the basics. To help you begin, here is everything you need to know about deep learning and how it has changed the way businesses operate.

What is Deep Learning?

Deep learning is one of the machine learning technologies designed to function as the human brain does. Though it is a set of algorithms designed to mimic the functions of the human brain, it is more complex than that. Deep learning follows the philosophy of learning in layers where each layer defines a higher level of intelligence than the last one.

Deep learning algorithms learn by example or a data set. Each data set they encounter adds that knowledge to the knowledge base. It enables a computer to remember from a hierarchy of concepts that range from simpler to complicated ones. The algorithm processes unstructured data in different types such as text, images, audio, and video and achieves the highest accuracy. Many times it outshines human intelligence. That is why it is widely used in numerous business applications today.

Deep learning algorithms are the driving force behind home automation appliances, driverless cars, voice commands, and most automated systems.

How Deep Learning Model Works?

Deep learning models are also called deep neural networks because most methods utilize neural network architecture. Every deep learning method involves two major processes- training and inferring.

  • Training

The training phase involves labeling massive amounts of data with their matching characteristics. In this phase, the algorithm identifies data with similar features and creates a knowledge base that consists of information about the labeled data, and makes an action plan to deal with similar data if it comes across it.

  • Inferring

Once it creates a knowledge base of the data, it makes conclusions and labels the unexposed data according to the gained knowledge. That is how deep learning creates enormous knowledge bases that help it evaluate vast data sets of business information and help businesses make wiser business decisions.

How Deep Learning Has Found Its Place in Today’s Businesses

Thanks to its capabilities of handling massive business data sets, deep learning has found its place in numerous industries. Here are some of the initiatives that reap the benefits of deep learning:

Medical Research

It wouldn’t be a surprise to know that deep learning expedites medical research. Numerous research labs use deep learning to evaluate massive data sets of medical records, patient medical history, patterns of illnesses, and possible causes behind the diseases. Deep learning helps discover the patterns of symptoms to diagnose possible diseases relevant to the symptoms. It narrows down the manual work to a great extent. In the medical field, where time is of the essence, deep learning makes the diagnosis faster so the appropriate treatments can begin.

Marketing

Marketing with deep learning has become so much more effective and more straightforward. Deep learning is used by businesses to develop AI chatbots that mimic human communication and replicate the more natural communication with the website visitors of app users similar to a real human being. Ad exchanges also use it to automate the ad unit bidding, so the publishers and advertisers can benefit from it.

Home Automation

Deep learning is the driving force behind numerous home automation appliances like air conditioners, smart lights, home assistant devices, and whatnot. The user uses voice commands to use the automation devices, and the algorithm helps to understand it and convert it into a set of actions such as turning on the fan or doing an online search.

It wouldn’t be a surprise to say that soon deep learning will replace all traditional automation techniques, and it will be used in every possible industry regardless of its size. On top of that, more and more businesses will be opting for deep learning for their business needs.

Adam Hansen