Added another board_rep

board.py

@@ -35,6 +35,12 @@ class Board:
         board.append(-15 - sum(negatives))
         return tuple(board)
 
+    @staticmethod
+    def board_features_to_slimmed_down_own(board, player):
+        board = list(board)
+        board += ([1, 0] if np.sign(player) > 0 else [0, 1])
+        return np.array(board).reshape(1, -1)
+
     @staticmethod
     def board_features_to_own(board, player):
         board = list(board)

network.py

@@ -15,6 +15,9 @@ class Network:
     output_size = 1
     # Can't remember the best learning_rate, look this up
     learning_rate = 0.01
+    # board_features_to_own has size 30
+    # board_features_to_tesauro has size 198
+    # board_features_to_slimmed_down_own has size 28
     board_rep = Board.board_features_to_own
 
     def custom_tanh(self, x, name=None):