Deep Learning from Scratch in Modern C++: Cost Functions

Let’s have fun by implementing Cost Functions in pure C++ and Eigen.

In machine learning, we usually model problems as functions. Therefore, most of our work consists of finding ways to approximate functions using well-known models. In this context, Cost Functions play a central role.

This story is a sequel to our previous talk about convolutions. Today, we will introduce the concept of cost functions, show common examples and learn how to code and plot them. As always, from …

artificial intelligence context cost cpp deep learning fun machine machine learning optimization role story work