OpenNN is an Open Source C++ library for working with neural networks, a fundamental tool in artificial intelligence. It is a great help when implementing and training networks. In this post, we will see how to install this great library, available at http://opennn.cimne.com/.
First, we download the latest version from its website http://opennn.cimne.com/download.asp. We unzip the file and move the contents to the desired location.
cd /Descargas unzip opennn_0.9.zip mv opennn OpenNN
Where you should replace the download folder name, the file version, and the folder where you want to save it, according to your version, file structure, and preferences.
Next, we compile the library files and check their operation.
cd OpenNN/build/make make -f opennn_test.makefile ./debug/opentest
If everything has worked correctly, the previous application will run without returning errors. Now you are ready to start programming with the library.
To test a practical case, we compile one of the examples provided by the developers. To do this, we run:
cd /OpenNN/build/make make -f simple_function_regression_makefile ./debug/simple_function_regression
Examine the code of the examples to check the operation of each one.
