All Stories
Modelling a padel match with Hidden Markov Models (Part 2)
In my last post I explained the usefulness of Hidden Markov Models for predicting the outcome of a padel match with only a few observations. There I also showed how...
Modelling a padel match with Hidden Markov Models
Imagine you are at a padel match. You watch the ball go from one side to the other, hit the wall, hit the ground, the net, and after some time...
GAN convergence proof
In my previous post about GANs I explained the mathematical proof of why GANs work. The theorem stated that the real data distribution was mimicked by the generator at the...
Headless installation of Ubuntu on Rasbperry
This tutorial aims to be a fast* tutorial for installing Ubuntu Server into a Raspberry Pi and accessing it via ssh. First, download the image from here. Then, using Balena...
Stable Diffusion Tutorial (Deprecated)
Three days ago Stable Diffusion was publicly released and today I am bringing to you an easy way of using the model without the need of having any kind of...
Neural Architecture Search (Part 3)
We have seen in Part 1 and Part 2 that neural architecture search can be used to find hyperparameters and to design recurrent networks. Is there any more use to...