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There comes a time in the life of every mathematician, engineer, and mythological figure alike when

You like analytics, huh!? Then take this ODE.

And it smacks you with a nonlinear, coupled, implicit one, with coefficients changing like the Hogwarts staircases. The only thing you can do is not solve …

Here we are again with the second part of the series dedicated to Neural ODEs. If the first article was a mental beating this one will be a bit less so. But don’t get your hopes up: it’s still no walk in the park. We’ve already sunk …

Once upon a time, there was a neural network that didn’t want to work layer by layer like all her friends. No, she wanted to be continuous, fluid, dynamic. She wanted to be a differential equation. This is not the usual nightmare for mathematicians. There's no Freddy Krueger waking …

Do you ever wake up in the morning thinking:
Damn, today I really feel like backpropagating some error... but I should probably watch my weight! No? Weird, but hey, good for you. Either way, even if nobody asked, I’ve got the perfect solution: the right compromise between indulgence and …

And here we are, with the third part of the article series dedicated to neurons. At first, I had only planned two, but what can I say? I got carried away. I couldn’t just leave you hanging without explaining why neural networks are made up of so many neurons …

Here we are again for the second part of the article devoted to the neuron.
If you landed here by mistake... RUN AWAY!
Just kidding, of course you’re invited to read the first part here.
That said, in the first part I left you with more questions than answers …

If you have ever heard about neural networks and thought: "how the heck do they learn?" you have landed in the right place.
Let's start immediately with a fresh spoiler of the day: there is no magic, just tons of multiplications, sums, and derivatives.
In this article, I want to …

For my first article, I’d like to talk about a topic that’s very close to my heart: Metaheuristics. Despite the name, it’s not some ancient Assyrian demon, but rather a family of algorithms designed to solve computational and optimization problems, that is, problems involving finding a maximum …