Deep learning, machine learning, artificial intelligence — they’re all relevant terms in today’s ever-growing, technological world. But there is often confusion among the three words and how they differ.
On this page, we’ll focus on answering the question, “What is deep learning?” Not only will we dive into the definition of deep learning, but we’ll talk about examples of deep learning, and the importance of deep learning to marketing strategies like yours.
If you want to learn more about deep learning concepts, keep reading! If you’d like to speak to a specialist about how deep learning can improve your marketing campaign, give WebFX a call at 888-601-5359!
What is deep learning?
Deep learning is an incredible subset of machine learning that allows a computer to learn like humans and carry out human tasks — sometimes better than humans themselves.
Deep learning is when we teach computers how to do things automatically by feeding them information and teaching them by example.
Whether we feed them content, photos, or something else, the computer will learn the right actions to take when paired with specific circumstances over time.
Deep learning learns from large sets of data where computers can find patterns and trends. The computer performs the task repeatedly and learns by example and repetition.
Everyday examples of deep learning
If you understand deep learning but aren’t quite sure how it applies to everyday life, check out the following examples. We’re positive you’ll recognize a few!
Did you ever hop onto a website where a chatbot greets you? You know there isn’t a real person behind that bot, but then how does it work?
You guessed it — deep learning!
Businesses feed chatbots specific info to train them. This information relates to common questions or expressions they might encounter with site visitors. Those bots then learn to respond intelligently to questions that users ask them.
Deep learning can help train computers to translate between languages effortlessly. This is especially useful in areas like airports, where people speak a variety of languages.
It’s also useful for websites that offer instant translation services.
3. Voice assistants
You know that shiny new Alexa that you got for Christmas?
She uses deep learning to understand how to respond to your questions!
Voice assistants like Siri, Cortana, and Alexa are all trained with deep learning to understand what you say and how to respond. They even learn how to respond to you specifically, after living with you for a while.
4. Facial recognition
Deep learning is used in facial recognition technology to be able to recognize a person’s face, no matter how they look. Facial recognition is becoming more popular, which means the need for deep learning is crucial to ensure that it’s effective.
The challenging part is training the computer to recognize a face even if it looks different from the first time they saw it — whether it be a different hairstyle or the addition of glasses.
You’ve probably thought Netflix creators were spying on you more than one time when you realized that they could make recommendations to you based on what you’ve already watched.
However, it’s all thanks to deep learning. Computers are trained to make recommendations for you based on the shows that you’ve watched repeatedly, or the movie genres you frequent.
6. Driverless cars
Do you know those autonomous cars that allow you to speed down the highway without your hands on the wheel? They use deep learning, too!
Deep learning is crucial to training autonomous cars. Even in everyday vehicles, deep learning is used to teach them how to alert drivers when they’re drifting into another lane, or about to hit a pedestrian.
The importance of deep learning in marketing
You may not necessarily connect deep learning to marketing, but when you ask, “What is deep learning?” we can’t help but mention its connection and importance to the marketing industry.
You can depict the importance of deep learning in marketing by considering all the information that you take in every month.
Site visits, user demographics, and content views are just a few things that you may measure within your marketing campaign. With deep learning, you can automatically sort that data and make decisions based on suggestions from your tool or program.
It’s beneficial for you to use tools that utilize the power of deep learning in your marketing campaign because they can automate processes, and sometimes, recommend even better decisions than your team.
At WebFX, our proprietary tool, MarketingCloudFX, has several features that utilize deep learning to improve marketing campaigns. In fact, it’s helped our clients earn more than $1.5 billion in revenue in the past five years.
Read on to learn more about MarketingCloudFX tools that use deep learning, and how they can benefit your marketing strategy.
Our proprietary tool, PredictionGeniusFX, helps you predict exactly how any given piece of content will perform in search engine results pages (SERPs). This is extremely important and gives you a huge edge in your industry since high SERP rankings generate more traffic for your website.
This is the only tool of its kind, and it uses Google’s deep learning platform to analyze historical data (collected by WebFX) to help you make the best decisions for your content.
ContentAnalyticsFX helps to determine the value that any one piece of content will provide your company. It uses deep learning to spot trends in previous data. Then, it delivers data-backed recommendations for your content.
It provides you with conversion data, visitor data, content value, and even engagement metrics for every piece of content that you launch through the tool.
Want to learn more about deep learning concepts?
If you’re still interested in learning more about deep learning, WebFX can help. Not only do we use deep learning in our marketing strategies, but we can help explain why it’s essential to your specific marketing strategy.
We can provide you with more information on our proprietary tool, MarketingCloudFX, and how it can help your business increase site traffic, conversions, and revenue year over year.
To learn more about machine learning, contact us online, or give us a call at 888-601-5359.
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