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()
