if __name__ == "__main__": # initialize storage manager storage = LoadAndSaveData('./single_data_set') if is_load_from_file: data_set = storage.load_data_set() else: # initialize char board board = CharBorad(5, 5, on_submit, True) while board.is_open: board.start() # initialize neurons perceptron_neuron_x = Perceptron(5 * 5, 0.1, 0.1) perceptron_neuron_o = Perceptron(5 * 5, 0.1, 0.1) perceptron_neuron_x.train_all(data_set) perceptron_neuron_o.train_all([{ 'inputs': item['inputs'], 'result': 1 if item['result'] == -1 else -1 } for item in data_set]) board = CharBorad(5, 5, lambda inputs, x: print( get_char_name(perceptron_neuron_x.calculate_one(inputs), perceptron_neuron_o.calculate_one(inputs))), False) # initialize char board while board.is_open: board.start()
if number == -1: return 'O' elif number == 1: return 'X' else: return 'undefined' if __name__ == "__main__": perceptronNeuron = Perceptron(5 * 5, 0.1, 0.01) # initialize neuron storage = LoadAndSaveData('./single_data_set') # if you want to load from data set just comment this section train_board = CharBorad(5, 5, on_submit, True) # initialize char board while train_board.is_open: train_board.start() # storage.save_data_set() # save your input data # if you want to load from data set just uncomment this section # data_set = storage.load_data_set() perceptronNeuron.train_all(data_set) print(perceptronNeuron.weights) board = CharBorad(5, 5, lambda inputs, x: print( get_char_name(perceptronNeuron.calculate_one(inputs))), False) # initialize char board while board.is_open: board.start()