machine learning

You probably heard about Neural ODEs, a neural network architecture based on ordinary differential equations. To train this kind of models, a mysterious trick called the adjoint state method is used. How does it work, why do we need it, and how it is related to backpropagation?

Let’s train the simplest neural network using PyTorch and look inside to understand how it works.

How machine learning helps sociolinguists to assess their data