deep_food.py 文件源码

def train():
  print('load lexical dataset...')
  Ys, Xs, Rs = loader()
  print('build model...')
  model = build_model()
  for i in range(100):
    model.fit(np.array(Xs), np.array(Ys), batch_size=16, nb_epoch=1 )
    if i%1 == 0:
      model.save('models/model%05d.model'%i)