def main():
config_file = './data/configs/network.txt'
initial_weights_file = './data/configs/initial_weights.txt'
dataset_file = './data/datasets/wine.txt'
fileUtils = FileUtils(dataset_file=dataset_file, config_file=config_file)
dataset = fileUtils.getDataset()
#normalized_dataset = normalizeDataset(dataset)
neurons_per_layer = [1, 2, 1]
network = NeuralNetwork(config_file=config_file,
dataset=dataset,
initial_weights_file=initial_weights_file,
neurons_per_layer=neurons_per_layer)
network.backpropagation()
