Tutorial

Understanding Seq2Seq Models

Most of the machine learning applications you’ve likely heard about are concerned with processing data such as images or databases – their key characteristic being that they can be “taken in” by a learning model all at once. They don’t have any temporal…
Tutorial

The Intuition Behind Variational Autoencoders

When reading about Machine Learning, the majority of the material you’ve encountered is likely concerned with classification problems. You have a certain input, and the ML model tries to figure out the features of that input. For example, a classification model can decide…
ResearchTutorial

A Beginner’s Guide to Meta-Learning

Like many other Machine Learning concepts, meta-learning is an approach akin to what human beings are already used to doing. Meta-learning simply means “learning to learn.” Whenever we learn any new skill there is some prior experience we can relate to, which makes the…