Updated

Author: Yuval Fernbach

1_Monitoring_your_TensorFlow_scripts.ipynb

@@ -261,7 +261,9 @@
     "\n",
     "**You can get your TensorBoard command from the next cell.**\n",
     "\n",
-    "You'll need and AccessKey + SecretKey with access to model_dir for this Event, get those from https://dashboard.eventengine.run/dashboard"
+    "You'll need and AccessKey + SecretKey with access to model_dir for this Event, get those from https://dashboard.eventengine.run/dashboard.  \n",
+    "\n",
+    "AWS Console -> copy the Credentials / CLI Snippets and run in your Terminal / CMD."
    ]
   },
   {

2_Using_Pipemode_input_for_big_datasets.ipynb

@@ -67,6 +67,15 @@
     "dataset = PipeModeDataset(channel=channel_name, record_format='TFRecord')\n",
     "```\n",
     "\n",
+    "The new _input function should look as following:\n",
+    "```python\n",
+    "def _input(epochs, batch_size, channel, channel_name):\n",
+    "    dataset = PipeModeDataset(channel=channel_name, record_format='TFRecord')\n",
+    "\n",
+    "    dataset = dataset.repeat(epochs)\n",
+    "    dataset = dataset.prefetch(10)\n",
+    "    ...\n",
+    "```\n",
     "For info see the SageMaker-python-sdk [documentation](https://sagemaker.readthedocs.io/en/stable/using_tf.html#training-with-pipe-mode-using-pipemodedataset)"
    ]
   },
@@ -232,8 +241,17 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.6.5"
+  },
+  "pycharm": {
+   "stem_cell": {
+    "cell_type": "raw",
+    "source": [],
+    "metadata": {
+     "collapsed": false
+    }
+   }
   }
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}