def main(): # args = parser.parse_args() if args.model: themodel.load_weights(args.model) x, y = args.split(args.data, args.sample_size) themodel.fit(x, y, batch_size = 10, verbose = 1, nb_epoch = 1) themodel.save_weights(args.output, overwrite = True)
def main(): # args = parser.parse_args() themodel.load_weights(args.model) predict_samples(args.output, args.length, args.sample_size)