Product development /

Visual programming for deep learning

May 12/5 min read
  • Reynaldo Boulogne
    Reynaldo Boulogne
  • Romain Futrzynski
    Romain FutrzynskiTechnical Communicator

There are 10 people in this world: the ones tired of this joke and the ones that don’t understand that this is a joke*. And that is kind of what this article is about.

Arguably, the ability to code is an important part of literacy in today’s society, but not everyone has the benefit of having an education or understanding of coding and software development. And as we’ve seen from past technological (r)evolutions, this divide can put the non-coders (and consequently businesses) at a disadvantage in their ability to earn money and accumulate skills.

In this respect, deep learning is no different from all the other technological (r)evolutions and it is already creating a divide between those who understand what it can do and those who don’t. 

If you want to use deep learning, not only do you need to know how to code, but you also need to know: 1) how to use specific data science programming libraries, 2) mathematics and statistics and 3) deep learning theory itself. Overcoming all these barriers just to get started is a tall order for most, so as of today, chances are that the divide is just going to keep growing.

Prerequisites to get started with deep learning. Overcoming all these barriers is a tall order for most.

This is where visual programming languages can help. They cut the overhead of knowledge and skills required by textual languages, and offer intuitive access to the graph-like nature of deep learning.

In good company and part of a very large family.

At Peltarion, our mission is to make AI accessible to as many people as possible so that we can advance humankind together. So with this in mind we designed the Peltarion Platform to be the first no-code / visual programming environment for deep learning on the market.

Peltarion visual programming language

We want to close the skills gap so that everyone gets a chance to use deep learning to create amazing new applications, solve tricky engineering problems, make new discoveries, and drive innovation.

Here's a fantastic example of what this can mean in practice:

Why not start your deep learning journey today? Try the Peltarion Platform and our visual programming environment for yourself. We have a free tier so you don't have to commit to anything beforehand.

*If you’re wondering what the joke is, you can find a short explanation here

  • Reynaldo Boulogne

    Reynaldo Boulogne

    With over 15 years of experience, Reynaldo has worked within the intersection of business and technology across multiple sectors, most recently at Klarna and Spotify. He is passionate about innovation, leadership, and building things from scratch. Reynaldo is also a former Vice-chairman of the Stockholm based AI forum, Stockholm AI.

  • Romain Futrzynski

    Romain Futrzynski

    Technical Communicator

    Romain Futrzynski is a technical communicator at Peltarion. He has several years of experience working in Computational Fluid Dynamics, notably to ensure customer success of simulation engineers at Siemens Digital Industries Software. Romain is passionate about computer science and deep learning, and about sharing knowledge between all branches of AI and Engineering. He has a PhD in Mechanical Engineering from KTH.