def start_training(self, sentences):
self._make_tagdict(sentences)
input_length = self.ex.input_length
widths = [input_length] + [self.hidden_width] * self.depth + [len(self.classes)]
self.model = NeuralNet(
widths,
embed=(self.ex.tables, self.ex.slots),
rho=self.L2, eta=self.learn_rate, update_step=self.solver)
print(self.model.widths)
