Update the BackupAndRestore callback section, apply nbfmt to multi_worker_with_keras.ipynb

Author: 8bitmp3

site/en/tutorials/distribute/multi_worker_with_keras.ipynb

@@ -882,7 +882,7 @@
         "\n",
         "When a worker becomes unavailable, other workers will fail (possibly after a timeout). In such cases, the unavailable worker needs to be restarted, as well as other workers that have failed.\n",
         "\n",
-        "Note: Previously, the `ModelCheckpoint` callback provided a mechanism to restore the training state upon a restart from a job failure for multi-worker training. The TensorFlow team are introducing a new [`BackupAndRestore`](#scrollTo=kmH8uCUhfn4w) callback, to also add the support to single-worker training for a consistent experience, and removed fault tolerance functionality from existing `ModelCheckpoint` callback. From now on, applications that rely on this behavior should migrate to the new callback."
+        "Note: Previously, the `ModelCheckpoint` callback provided a mechanism to restore the training state upon a restart from a job failure for multi-worker training. The TensorFlow team are introducing a new [`BackupAndRestore`](#scrollTo=kmH8uCUhfn4w) callback, which also adds the support to single-worker training for a consistent experience, and removed the fault tolerance functionality from existing `ModelCheckpoint` callback. From now on, applications that rely on this behavior should migrate to the new `BackupAndRestore` callback."
       ]
     },
     {
@@ -1194,4 +1194,3 @@
   "nbformat": 4,
   "nbformat_minor": 0
 }
-