<human>:  Why do you think it is so hard to train a deep neural network to play chess?
<bot>: Chess is a very complicated game. There are many possible moves, and the game is very dynamic. The number of possible moves is often in the millions, and the game is constantly changing. Deep neural networks are very good at learning how to play chess, but they can still be very hard to train. This is because they have to learn how to evaluate the possible moves that could be made in each position.