Deep Learning training enables you to acquire expertise that is highly sought-after by companies. Find out what skills you can acquire by following such a course, and what career opportunities are available.
Artificial intelligence is rapidly transforming the way we interact with the world. This new technology is revolutionizing many industriesand may prove beneficial to all entrepreneurs, scientists and software developers.
Among the various branches of artificial intelligenceone in particular has been exploited in all sectors for several years: Deep Learning.
Training in Deep Learning with several specializations will enable you to master algorithms and neural networkslearn how to use the various tools of deep learning to start a forward-looking career…
What is Deep Learning?
Deep Learning is a sub-category of artificial intelligence and Machine Learning, inspired by the way humans acquire new knowledge.
This deep learning method is based on artificial neural networks algorithms capable of processing vast volumes of data to learn how to recognize or reproduce them. Once trained on the data, the models are able to perform tasks autonomously.
Deep Learning is an essential element of Data Science. Data Scientists use it to collect, analyze and interpret large volumes of data faster and more easily.
Other applications include image recognitionimage recognition recommendation systemsor the natural language processing. These technologies enable Tesla cars to drive autonomously, Netflix to recommend new series and Amazon Alexa to understand your questions.
As you can see, Deep Learning is playing an increasingly important role in our modern society, and is becoming more and more important. at the root of many recent innovations…
How does Deep Learning work?
To illustrate the concept of Deep Learning, we can do the following an analogy with the learning process of a young child pronouncing his first word. Let’s imagine that this word is “cat”, and that the child starts pointing to objects as he says it. His parents will confirm that it’s a cat, or correct him if it’s not.
Over time, the child becomes aware of the cat’s characteristics and this abstract concept becomes clearer in his mind. Without realizing it, he has learned to recognize a cat by building a hierarchy in which each level of abstraction is created from knowledge acquired on the previous level of the pyramid.
Computer programs using the Deep Learning learn in the same way. Each algorithm in the hierarchy processes the data it receives, and uses what it learns to create a statistical model. Iterations continue until the result has reached a sufficient level of accuracy.
Unlike a child who will need several weeks to understand what a cat is, a computer program based on Deep Learning algorithms can be trained on a dataset of several million images and learn to identify a cat in a photo in just a few minutes.
Why take a Deep Learning course?
Once you have acquired the fundamental skills, you will also be able to specialize in a specific field of application such as Natural Language Processing or Computer Vision.
Careers in Deep Learning
By making it possible to exploit massive volumes of data, Deep Learning has the potential to change the way companies make decisions and design their customers’ experience.
Artificial intelligence is now applied in all fieldsfrom education to health and IT. There is already a wide variety of use cases, such as image and speech recognition, advertising targeting, risk management or fraud prevention. And in the years to come, new applications will continue to emerge.
This is why Deep Learning expertsable to process data or build models for Natural Language Processing and Computer Vision, are highly sought-after by employers.
Deep Learning training enables you to take on the role of Data Scientist or work in artificial intelligence R&D. This course can open many doors for youand get you started on a career that looks to the future…