![]() ![]() ![]() It still surprises me that while a good Arena player would consider many factors when making choices like tempo, value and synergies, a deep learning model built with Tensorflow doesn’t rely on you specifying what trends it looks out for. Being an avid Arena player, I’ve always wanted to dig deeper into the inner workings of the HearthArena algorithm, and with my newly learnt skills in Tensorflow, this became a reality. ![]()
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