--- id: 5e8f2f13c4cdbe86b5c72da2 title: '使用 RNN 進行自然語言處理:訓練模型' challengeType: 11 videoId: hEUiK7j9UI8 bilibiliIds: aid: 250542136 bvid: BV19v411w7Fi cid: 409138327 dashedName: natural-language-processing-with-rnns-training-the-model --- # --question-- ## --text-- 填寫下面的空白以將你模型的檢查點保存在 `./checkpoints` 目錄中,並調用最新的檢查點進行訓練: ```py checkpoint_dir = __A__ checkpoint_prefix = os.path.join(checkpoint_dir, 'ckpt_{epoch}') checkpoint_callback = tf.keras.callbacks.__B__( filepath=checkpoint_prefix, save_weights_only=True ) history = model.fit(data, epochs=2, callbacks=[__C__]) ``` ## --answers-- A: `'./training_checkpoints'` B: `ModelCheckpoint` C: `checkpoint_prefix` --- A: `'./checkpoints'` B: `ModelCheckpoint` C: `checkpoint_callback` --- A: `'./checkpoints'` B: `BaseLogger` C: `checkpoint_callback` ## --video-solution-- 2