Added by Kyrylo Kolodiazhnyi on January 21, 2019 at 7:44am — No Comments
I published implementation of Faster R-CNN with MXNet C++ Frontend. You can use this implementation as comprehensive example of using MXNet C++ Frontend, it has custom data loader for MS Coco dataset, implements custom target proposal layer as a part of the project without modification MXNet library, contains code for errors checking (Missed in current C++ API), have Eigen and NDArray integration samples. Feel free to leave comments and proposes. The code is available on Github,…Continue
Added by Kyrylo Kolodiazhnyi on November 5, 2018 at 11:30pm — No Comments
Dlib is an open source C++ framework containing various machine learning algorithms and many other complementary stuff which can be used for image processing, computer vision, linear algebra calculations and many other things. It has very good documentation and a lot of useful examples. In this post I will show how to use this library for solving a classification problem on Iris data…Continue
Added by Kyrylo Kolodiazhnyi on August 7, 2018 at 7:03am — No Comments
Shark-ML is an open-source machine learning library which offers a wide range of machine learning algorithms together with nice documentation, tutorials and samples. In this post I will show how to use this library for solving classification problem, with two different algorithms SVM and Random Forest. This post will tell you about how to use API for:
1. Loading data
2. Performing normalization and dimension…Continue
Added by Kyrylo Kolodiazhnyi on July 30, 2018 at 2:40am — No Comments
Hello, this is my second article about how to use modern C++ for solving machine learning problems. This time I will show how to make a model for polynomial regression problem described in previous article, but now with another library which allows you to use your GPU easily.
Added by Kyrylo Kolodiazhnyi on May 30, 2018 at 1:30am — No Comments
There are a lot of articles about how to use Python for solving Machine Learning problems, with this article I start series of materials on how to use modern C++ for solving same problems and which libraries can be used. I assume that readers are already familiar with Machine Learning concepts and will concentrate on programming issues only.
The first part is about creating Polynomial Regression model with XTensor library. This is C++ library for numerical analysis with…Continue