March 7, 2025

I’ve always been fascinated by Fashion—collecting unique pieces and trying to blend them in my own way. But let’s just say my closet was more of a work-in-progress avalanche than a curated wonderland. Every time I tried to add something new, I risked toppling my carefully balanced piles. Why this matters:If you’ve ever felt overwhelmed by a closet that seems to grow on its own, you’re not alone. For those interested in style, I’ll show

Introduction In my previous article, I discussed one of the earliest Deep Learning approaches for image captioning. If you’re interested in reading it, you can find the link to that article at the end of this one. Today, I would like to talk about Image Captioning again, but this time with the more advanced neural network architecture. The deep learning I am going to talk about is the one proposed in the paper titled “CPTR:

In Game Theory, the players typically have to make assumptions about the other players’ actions. What will the other player do? Will he use rock, paper or scissors? You never know, but in some cases, you might have an idea of the probability of some actions being higher than others. Adding such a notion of probability or randomness opens up a new chapter in game theory that lets us analyse more complicated scenarios.  This article