XOJO vs C++: Machine Learning

Machine Learning in XOJO This is a generic AI script that was transferred to XOJO from C++. Here is the link to the C++ source code and accompanying video by David Miller: https://github.com/huangzehao/SimpleNeuralNetwork I used the generic AI model to test the speed of both languages with the same training data. They are both compiled, and definitely both faster than python. Here is the newer repository link: https://github.com/AlexanderKostyak/XOJO-Machine-Learning If you want to use the AI in your XOJO project: Copy in the AI module and potentially the trainingdata class and call the appropriate functions. The desktop is the default path location to find the trainingdata file. Change the filename and/or path location in the code to train with different data. The console app AI module has more private members because the desktop graphic accesses the members to draw the network. wine data: https://archive.ics.uci.edu/dataset/186/wine+quality P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis. Modeling wine preferences by data mining from physicochemical properties. In Decision Support Systems, Elsevier, 47(4):547-553. ISSN: 0167-9236.