Click here to Skip to main content
15,912,756 members
Articles / Artificial Intelligence

C++26: Basic linear algebra algorithms applied to Machine learning.

Rate me:
Please Sign up or sign in to vote.
5.00/5 (4 votes)
29 Apr 2024CPOL3 min read 3K   6  
An implementation of the Neural Network backpropagation learning algorithm in C++ using the BLAS proposal in P1673.
The article implements a Neural Network backpropagation learning algorithm using the C++26 proposed std::linalg module. It compares the implementation with similar code written using boost::ublas library. std::linalg integrates with std::mdspan, a C++23 feature, the options for optimisation your memory usage using mdspan are discussed.

Views

Daily Counts

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


Written By
United Kingdom United Kingdom
This member has not yet provided a Biography. Assume it's interesting and varied, and probably something to do with programming.

Comments and Discussions