Because the neural network was trained on human games (specifically from KGS), its playstyle feels more "natural" and less like a machine that occasionally blunders to keep games close.
The first edition of Crazy Stone Deep Learning has significant implications for the field of artificial intelligence and game playing. The program's ability to play Go at a high level has opened up new possibilities for applications in areas such as: Crazy Stone Deep Learning The First Edition
Developed starting in 2005, it was one of the first programs to successfully use MCTS. Because the neural network was trained on human
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While it was a pioneer, the landscape for Go AI has changed rapidly. Crazy Stone Deep Learning -The First Edition- on Steam
The "Deep Learning" edition marked a massive jump in strength, achieving a winning rate of over 90% against its own 2013 predecessor.
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