The first port of call for this series was to do a quick implementation using the resources I already had available to me, and in this case that was TFCNNv2, a simple yet feature-rich C library I had been working on which implements classical Feed-Forward Neural Networks. In what is a continuation of my original article on “Training a Neural Network to Autoshoot in FPS Games.” in this short series of articles I will be exploring the application of Machine Learning (ML) and Artificial Neural Networks (ANN) to implement an Artificial Intelligence (AI) which is able to use real-time training to create a model which can identify targets in, although not limited to, Valve Software’s game of Counter-Strike Global Offensive. Creating a Machine Learning Auto-shoot bot for CS:GO.
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