In continuation to Part 2 of “Creating a Machine Learning Auto-shoot bot for CS:GO.” using my minimalist adaption of the VGG network originally designed by the Visual Geometry Group at Oxford University I have managed to use offline training to get satisfactory head-shot results in the game of Counter-Strike: Global Offensive.

Where we last left off I had managed to use real-time training to train the network I had dubbed as TBVGG3 to detect and shoot at the football in the map Dust II, with very little to no miss-fire. …


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