Deep Learning training: what are the objectives?

A Deep Learning training allows you to acquire an expertise that is highly sought after by companies. Discover what skills you can acquire by following such a course, and what are the professional opportunities.

Artificial intelligence is rapidly transforming the way we interact with the world. This new technology is disrupting many industriesand can be beneficial to all entrepreneurs, scientists and software developers.

Among the different branches of artificial intelligenceOne of them has been particularly exploited in all sectors for several years: Deep Learning.

Following a training in Deep Learning offering several specializations will allow you to master algorithms and neural networksLearn how to handle the different tools of deep learning to start a career that looks to the future…

Table of contents

What is Deep Learning?

Deep Learning is a subcategory 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 large volumes of data to learn to recognize or reproduce them. Once trained on the data, the models are able to perform tasks autonomously.

Deep Learning is an essential part of Data Science. Data Scientists use it to collect, analyze and interpret large volumes of data faster and easier.

Other applications include. image recognitionthe recommendation systemsor the natural language processing. These technologies allow Tesla cars to drive autonomously, Netflix to recommend new series, and Amazon Alexa to understand your questions, among others.

As you can see, Deep Learning is playing an increasingly important role in our modern societies, and is at the root of many recent innovations

How does Deep Learning work?

In order to illustrate the concept of Deep Learning, we can do the analogy with the learning of a young child who pronounces his first word. Let us imagine that this word is “cat”, and that the child starts to point to objects while pronouncing it. His parents will confirm that it is a cat, or will take him back if it is not.

Over time, the child becomes aware of the characteristics of the cat and this abstract concept becomes clearer in his mind. Without knowing it, he has learned to recognize a cat by building a hierarchy in which each level of abstraction is created from knowledge acquired from 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 only a few minutes.

Why take a Deep Learning course?

A Deep Learning training allows learning to handle tools such as Keras and TensorFlow, to understand how neural networks work, or to learn how to build models.

After acquiring the fundamental skills, you will also be able to specialize in a specific field of application of Deep Learning such as Natural Language Processing or Computer Vision.

The jobs of 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 the experience of their customers.

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.

That’s why Deep Learning expertscapable of processing data or building Natural Language Processing and Computer Vision models, are highly sought after by employers.

By taking a Deep Learning course, you will be able to exercise the role of Data Scientist or work in R&D in artificial intelligence. This curriculum can open many doors for youand allow you to start a career that looks to the future…

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