def train(self, examples):
    '\n        This function trains the neural network with examples obtained from\n        self-play.\n        Input:\n            examples: a list of training examples, where each example is of form\n                      (board, pi, v). pi is the MCTS informed policy vector for\n                      the given board, and v is its value. The examples has\n                      board in its canonical form.\n        '
    pass
This function trains the neural network with examples obtained from
self-play.
Input:
    examples: a list of training examples, where each example is of form
              (board, pi, v). pi is the MCTS informed policy vector for
              the given board, and v is its value. The examples has
              board in its canonical form.
def train(self, examples):
    '\n        This function trains the neural network with examples obtained from\n        self-play.\n        Input:\n            examples: a list of training examples, where each example is of form\n                      (board, pi, v). pi is the MCTS informed policy vector for\n                      the given board, and v is its value. The examples has\n                      board in its canonical form.\n        '
    pass