return int(2 ** board.bestTile)
root = Tk()
window = GameWindow(root)
EPOCHS_PER_GAME = 10
NEURONS_IN_HIDDEN_LAYERS = [17,500,500,4]
LIST_OF_FUNCTIONS = ["rectify","rectify","softmax"]
LEARNING_RATE = 0.003
MOMENTUM_RATE = 0.9
a = Ann(neuronsInHiddenLayers=NEURONS_IN_HIDDEN_LAYERS, listOfFunctions=LIST_OF_FUNCTIONS, learningRate=LEARNING_RATE, momentumRate=MOMENTUM_RATE, errorFunc=10)
for i in range (50):
trX, trY = get_data.get_training_data('training/train_data_'+str(i+1))
print "Training on data "+str(i+1)
a.training(trX, trY,len(trX)-1,EPOCHS_PER_GAME)
random_res = []
#random_res = [128, 128, 256, 64, 256, 128, 64, 64, 32, 64, 128, 128, 128, 128, 128, 128, 64, 128, 64, 128, 128, 64, 64, 64, 64, 128, 128, 128, 64, 128, 128, 128, 128, 128, 128, 128, 32, 128, 256, 64, 64, 128, 64, 64, 64, 128, 128, 64, 128, 64]
for i in range(50):
print "Random game: "+str(i+1)
board = Board()
window.update_view( board.generateState(board.grid) )
solver = Solver(board, window, root)
solver.startSolver("random")
random_res.append(int(2**board.bestTile))
ann_res=[]
