July 6, 2017 | Last updated on April 11, 2024

Diving into Deep Learning and Why It’s Important?

Written by Pete Nystrom

Everyone knows that Artificial Intelligence is beginning to revolutionize the technology industry, but how exactly is it being accomplished? An algorithmic approach  called Deep Learning is currently helping AI researchers make huge leaps in developing modern-day AI applications.

The Technique behind Current AI

Deep learning is beginning to work its way into conversations when Artificial Intelligence is being discussed. But what exactly is “Deep Learning?”

The idea all started back in the late 1950s when scientist Frank Rosenblatt tried to create the first artificial human brain model. Although the theory on paper seemed plausible, the processing power of computers and the amount of data storage available made it impossible to accomplish at that time.

artificial intelligence

As research and technology have improved over the years, computer scientists have begun creating Artificial Neural Networks by developing layers of algorithmic equations. These layers are able to process vast amounts of data that are then used to recognize speech and visual objects.

The end goal of the research is to successfully use predictive and learning algorithms that act similarly to a real life neural network, or in other words, an artificial human brain.

How is Deep Learning different from Machine Learning

The Deep Learning approach is a branch of Machine Learning. In both instances, a computer is set with a task to sort large amounts of data and be able to recognize the similarities. Think of it as teaching somebody to read.

computer board

Machine Learning does this at a much larger scale taking all of the data to process the similarities. This is where Deep Learning differs. Deep Learning tries to attempt it incrementally. For instance, the computer would first start off by learning letters before it starts to recognize words.

Modern Day Examples

1. DeepMind

The best modern-day example of deep learning is DeepMind Technologies. DeepMind (acquired by Google in 2014) has been the leading business in developing neural networks that mimic human thinking.

DeepMind Technologies have focused on building a computer that learns from experience. Much of their research is applied to having their computer program attempt to beat humans in video games.

2. IBM Watson

The other most notable artificial intelligence system is the IBM Watson. In 2016, IBM pushed an update to include Deep Learning into their commercial system.

Initially Watson gained fame for its winning results in finding amazing answers to a game of Jeopardy by using a large data system. Since then, IBM has commercialized Watson to the public, but what it was lacking was the learning aspect that could continuously improve Watson’s intelligence over time.

With the new update that includes deep learning applications, it allows for Watson to increasingly improve its speech and object recognition almost as if it’s learning.

The Future of Deep Learning

Although vast advances have been made in the field of artificial intelligence and deep learning, there are still many obstacles to overcome as we are just in the forefront of AI research.

deep learning

It could be possible one day to have a fully functioning artificial brain that completely mirrors the human mind, but there is a lot of work to be done. Computer Scientists believe deep learning could be the solution with further installments of more complicated neural networks.

Thanks for Reading!

Enjoyed this article on Deep Learning? Check out some more of our recent, related articles in the area of artificial intelligence:

Google DeepMind: Years of Success

Artificial Intelligence: From Fantasy to Reality

IBM Watson is Revolutionizing Medicine with AI

Pete Nystrom
Written by
Pete Nystrom
VP of Engineering, Seamgen
Software architect, full-stack web/mobile engineer, and cloud transformation expert
Top Application Development Company San Diego and web design company in San Diego

Do you need a premier custom software development partner?

Let’s discuss your modernization strategy and digital application goals.

Let's Connect



(858) 735-6272

Text us
We’re ready for you! Fill out the fields below and our team will get back to you as soon as possible.