--question--

--text--

Fill in the blanks below to save your model's checkpoints in the ./checkpoints directory and call the latest checkpoint for training:

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