This engine contains the dumbest neural network for chess evaluation that exists. 784x16x1 (the same size as Tomitank, which was a direct inspiration), with extremely dumb tuner caring only for the input layer. Because of working on a single laptop, I took a shortcut and initialized some weights in a way mimicking piece/square tables.
Current iteration earned a dubious distinction of playing at 2000-2100 level while using a 2800 Elo-capable search.
If it proves capable of learning something more, I'll consider resurrecting Rodent with Tomitank-style neural network adjustement of its eval. If not, view it as an educational toy showing what a real neural network does.
Home