Deep Learning

Deep learning is a subset of machine learning that processes data and creates patterns for use in decision making. Deep learning techniques teach machines to perform tasks that would otherwise require human intelligence to complete.

Neural Networks, Machine Learning, Data and Complex Algorithms

Deep learning encompasses several technologies including multi-layered artificial neural network architectures to deliver accurate object detection, speech recognition and language translation. The structure of a neural network resembles the networked structure of neurons in the brain, with layers of connected nodes that can learn from data and be trained to recognize patterns, classify data, and predict events.

Deep learning models use machine learning, a type of artificial intelligence (AI) where machines can learn by experience without human involvement. Deep learning also uses complex algorithms, inspired by the human brain and how it works, to learn from large amounts of labeled data.

Large data sets and neural network architecture is how deep learning models learn directly from the data without the need for manual extraction. Deep Learning technology is evolving quickly, due largely in part to the staggering amount of data we generate every day. Deep learning networks continue to improve as the size of your data increases.

Growing data resources and advances in computing power that benefit deep learning algorithms has helped to evolve this technology quickly.

Examples of Deep Learning

Today, deep learning research is a driving force behind many of the technologies we use every day — from the voice control functions found in our smart devices to self-driving cars. Often, the end-user benefits are so integrated into devices that people may not even realize that deep learning algorithms and AI are deeply embedded in many of the online services and apps we use every day.

Both Netflix and Amazon use deep learning algorithms to suggest products and shows to watch, intelligent virtual assistants (Alexa, Bixby, Cortana, Google Assistant or Siri) use deep learning to understand speech and the language humans use when they interact with them. Other examples of deep learning include colorization of black and white Images, autonomous vehicles, translators, facial recognition, classification and medical disease diagnoses.

Vangie Beal
Vangie Beal
Vangie Beal is a freelance business and technology writer covering Internet technologies and online business since the late '90s.

Top Articles

List of Windows Operating System Versions & History [In Order]

The Windows operating system (Windows OS) refers to a family of operating systems developed by Microsoft Corporation. We look at the history of Windows...

How to Create a Website Shortcut on Your Desktop

Website Shortcut on Your Desktop reviewed by Web Webster   This Webopedia guide will show you how to create a website shortcut on your desktop using...

What are the Five Generations of Computers? (1st to 5th)

Reviewed by Web Webster Each generation of computer has brought significant advances in speed and power to computing tasks. Learn about each of the...

Hotmail [Outlook] Email Accounts

Launched in 1996, Hotmail was one of the first public webmail services that could be accessed from any web browser. At its peak in...


SHA-256 is an algorithm used for hash functions and is a vital component...

Document Management System

A document management system is an automated software solution businesses and organizations use...

Conti Ransomware

Conti ransomware first emerged in 2020. It uses a ransomware as a service...