Hands-On Machine Learning with C++

Using Dlib

Dlib is a modern C++ toolkit containing ML algorithms and tools for creating computer vision software in C++. Most of the linear algebra tools in Dlib deal with dense matrices. However, there is also limited support for working with sparse matrices and vectors. In particular, the Dlib tools represent sparse vectors using the containers from the C++ standard template library (STL).

There are two main container types in Dlib to work with linear algebra: the matrix and the vector classes. Matrix operations in Dlib are implemented using the expression templates technique, which allows them to eliminate the temporary matrix objects that would usually be returned from expressions such as M = A+B+C+D.

We can create a matrix sized at compile ...