A quick deep learning tutorial

By | 1 minute read | October 29, 2016

If you ask 10 experts for a definition of deep learning, you will probably get 10 correct answers. Even though businesses of all sizes are already using deep learning to transform real-time data analysis, it can still be hard to explain and understand.

Even if you haven’t recognized it, you’ve benefited from deep learning. We like to describe it this way:

Deep learning is based on the human brain’s decision-making process. By building multiple layers of abstraction, deep learning technology can solve complex semantic problems. Deep learning frees humans from doing mundane and repetitive tasks and enhances a computer’s ability to learn the way humans do by eliminating the linear nature of most programs and leveraging sophisticated algorithms.

Put succinctly, computers think and learn like human beings.

The world’s most advanced computing systems use deep learning to intelligently decipher the overwhelming amounts of structured and unstructured data and make insightful business decisions. Deep learning techniques teach these systems to separate the signal from the noise, so they can analyze relevant data and interactions to better understand customer preferences and behavior.

For leaders, it is important to have an understanding of what’s possible. Thinking about how the technology can digitally disrupt an industry to put you ahead of competition is becoming vital to success.

Did you have an “ah-ha” moment? Learn more about this topic and educate others on the benefits of deep learning with our eBook, Deep Learning: The Next Evolution in Programming. The eBook includes example use cases to provide context and explain the impact deep learning has on our everyday lives.

Defining deep learning

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