Understand what Deep Learning is and how it optimizes our lives 4h1s24

Deep Learning It's a term that pops up every now and then in conversations about all the possibilities for machines to learn to do things that humans do today in factories, warehouses, offices, and homes. While technology is rapidly evolving (along with our fears and excitements), like artificial intelligence, machine learning and Deep Learning (Deep Learning, in Portuguese) may perplex you. 3b6h2c

In this article, we will help you to resolve the confusion surrounding the concept and operation of Deep Learning and we will demonstrate the 8 practical examples that clarify the current use of this type of technology today.

What is deep learning? 63221v

The field of artificial intelligence comes down to when machines can perform tasks that normally require human intelligence. Artificial intelligence encomes several techniques, among them the Machine Learning (Machine Learning), where machines can learn from experience and acquire skills without human involvement.

Machine Learning is directly involved in creating algorithms that can modify themselves without human intervention to produce the desired output – feeding on structured data.

Already Deep Learning is a subset of machine learning in which artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data. As we learned from experience, the deep learning algorithm would perform a task over and over again, each time tweaking it a little to improve the outcome.

We refer to “deep learning” because neural networks have several (deep) layers that enable learning. Any problem that requires “thinking” to figure out is a problem that deep learning can learn to solve.

The amount of data we generate every day is staggering – currently estimated at 2,6 quintillion bytes – and it is the resource that makes deep learning possible. Since deep learning algorithms require a ton of data to learn, this increase in data creation is one of the reasons why deep learning capabilities have grown in recent years.

In addition to more data creation, deep learning algorithms benefit from the stronger computing power available today, as well as the proliferation of Artificial Intelligence (AI) as a Service. THE AI as a Service gave smaller organizations access to artificial intelligence technology and specifically the AI ​​algorithms needed for deep learning without a huge upfront investment.

Deep learning allows machines to solve complex problems even when using a very diverse, unstructured and interconnected dataset. The deeper learning algorithms learn, the better they behave and are able to adapt to different types of scenarios and needs.

Deep Learning vs Machine Learning 321l3j

Before checking out how Deep Learning works and is used in our daily lives, we need to clarify the difference between Deep Learning and Machine Learning. Despite having specific definitions, these two subsets of Artificial Intelligence are often confused.

In practical , Deep Learning is just a subset of Machine Learning. In fact, Deep Learning technically is machine learning and works in a similar way (hence the are sometimes loosely swapped). However, their capabilities are different.

While basic Machine Learning models get progressively better in any role, they still need some guidance. If an AI algorithm returns an inaccurate prediction, an engineer will need to step in and make adjustments. With a deep learning model, an algorithm can determine on its own whether or not a prediction is accurate through its own neural network.

Let's go back to the flashlight example: it can be programmed to turn on when it recognizes the audible cue of someone saying the word “dark”. As you continue to learn, you may eventually activate any phrase that contains that word.

Now, if the flashlight had a deep learning model, it might find that it should light up with the "I can't see" or "the light switch won't work" cues, perhaps in conjunction with a light sensor. A deep learning model is able to learn through its own method of computing – a technique that makes it look like it has its own brain.

How does Deep Learning work? 363k6a

A Deep Learning model is designed to continuously analyze data with a logical structure similar to the way a human would draw conclusions. To achieve this, deep learning applications use a layered structure of algorithms called an artificial neural network. The design of an artificial neural network is inspired by the biological neural network of the human brain, leading to a much more capable learning process than standard machine learning models.

It's a tricky prospect to ensure that a deep learning model doesn't draw incorrect conclusions – like other AI examples, it requires a lot of training to correct the learning processes. But when it works as intended, functional deep learning is often greeted as a scientific marvel that many consider the backbone of true artificial intelligence.

A great example of deep learning is the AlphaGo Of google. Google created a computer program with its own neural network that learned to play the abstract board game called Go, known for requiring sharp intelligence and intuition.

When playing against professional Go players, AlphaGo's deep learning model learned to play to a level never before seen in artificial intelligence, and did so without being told when to make a specific move (as a standard Machine Learning model would require) .

The biggest uproar caused by AlphaGo was when it defeated several world famous “masters” of the game – not only was one machine able to understand the complex techniques and abstract aspects of the game, but it was also becoming one of the biggest players.

Practical examples of Deep Learning 4i2i25

Now that we are at a time when machines can learn to solve complex problems without human intervention, what exactly are the problems they are facing? Here are just a few of the tasks that deep learning s today and the list will keep growing as algorithms keep learning through infusing data.

Virtual Assistants 316at

Be Alexa, Crab ou Cortana, online service provider virtual assistants use deep learning to help understand their speech and the language humans use when interacting with them.

Translations 6j425t

Similarly, deep learning algorithms can automatically translate many types of languages. This can be powerful for travelers, business people, and people in government who need fast and efficient translation.

Vision for driverless delivery trucks, drones and self-driving cars r1z4d

The way an autonomous vehicle understands the realities of the road and how to respond to them, whether it's a stop sign, a ball in the street, or another vehicle, is through deep learning algorithms. The more data these algorithms receive, the better they are able to act like humans in their information processing – knowing that a snow-covered stop sign is still a stop sign.

Chatbots and Service Bots 6e5951

Chatbots and service robots that provide customer service for many businesses are able to intelligently and helpfully respond to an increasing amount of audio and text queries thanks to deep learning.

Image colorization 5o6o3z

Transforming black and white images into color was a task meticulously done by the human hand. Today, deep learning algorithms are able to use the context and objects in the images to color them, basically to recreate the black-and-white image in color. The results are impressive and accurate.

Facial recognition b354k

Deep learning is being used for facial recognition not only for security reasons, but also for tagging people in posts on Facebook. Facebook and maybe we can pay for items in a store just using our faces in the near future. The challenges for deep learning algorithms for facial recognition is knowing it's the same person even when they've changed their hairstyle, grown or shaved their beard, or if the captured image is bad due to poor lighting or an obstruction.

 Medicine and Pharmaceuticals 4v244d

From disease and tumor diagnoses to personalized drugs created specifically for an individual's genome, deep learning in the medical field has the attention of many of the largest pharmaceutical and medical companies.

 Personalized shopping and entertainment 1i546n

Ever wonder how Netflix comes up with suggestions for what you should watch next? Or where Amazon comes up with ideas for what you should buy next and these suggestions are just what you need but never knew before? Yes, it is deep learning algorithm at work.

The more experience gained by deep learning algorithms, the better they become. It must be an extraordinary few years as the technology continues to mature.