Update data_performance.ipynb

Author: RenuPatelGoogle

site/en/guide/data_performance.ipynb

@@ -273,7 +273,7 @@
       },
       "source": [
         "### Prefetching\n",
-        "<a id=\"prefetching\"></a>\n",
+        "<a name=\"prefetching\"></a>\n",
         "Prefetching overlaps the preprocessing and model execution of a training step.\n",
         "While the model is executing training step `s`, the input pipeline is reading the data for step `s+1`.\n",
         "Doing so reduces the step time to the maximum (as opposed to the sum) of the training and the time it takes to extract the data.\n",
@@ -320,7 +320,7 @@
       },
       "source": [
         "### Parallelizing data extraction\n",
-        "<a id=\"parallelizing_data_extraction\"></a>\n",
+        "<a name=\"parallelizing_data_extraction\"></a>\n",
         "In a real-world setting, the input data may be stored remotely (for example, on Google Cloud Storage or HDFS).\n",
         "A dataset pipeline that works well when reading data locally might become bottlenecked on I/O when reading data remotely because of the following differences between local and remote storage:\n",
         "\n",