[v1.1][ISSUE-218]update demo text and format (#289)

* update demo text and format

Signed-off-by: Xue, Chendi <chendi.xue@intel.com>

* update DLRM note on train section as well

Signed-off-by: Xue, Chendi <chendi.xue@intel.com>

---------

Signed-off-by: Xue, Chendi <chendi.xue@intel.com>

Author: xuechendi

demo/builtin/dien/DIEN_DEMO.ipynb

@@ -112,11 +112,12 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "2411d204",
    "metadata": {},
    "source": [
-    "(Option 1) use pip install - recommended"
+    "### (Option 1) Use Pip Install"
    ]
   },
   {
@@ -133,11 +134,12 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "acb73441",
    "metadata": {},
    "source": [
-    "(Option 2) use docker\n",
+    "### (Option 2) Use Docker\n",
     "``` bash\n",
     "# 1. git clone codes\n",
     "git clone https://github.com/intel/e2eAIOK.git\n",

demo/builtin/dlrm/DLRM_DEMO.ipynb

@@ -208,12 +208,13 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "213dafa7",
    "metadata": {},
    "source": [
     "# Getting Started\n",
-    "Noted: This demo needs to compile torch v1.5.0-rc3, ipex, torchCCL package, it was tested on bare metal environment. Due to the limitations of colab system, this notebook is only for presentation purpose.\n",
+    "Noted: This demo needs to compile torch v1.5.0-rc3, ipex, torchCCL package, it was tested on bare metal environment. Due to the limitations of colab system, this notebook is only for presentation purpose. Result AUC showed is trained with a small sample dataset. Full dataset result please refer to [performance section](#performance). \n",
     "\n",
     "  * [1. Environment Setup](#1.-Environment-Setup)\n",
     "  * [2. Workflow Prepare](#2.-Workflow-Prepare)\n",
@@ -231,11 +232,12 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "61f9eafa",
    "metadata": {},
    "source": [
-    "(Option 1) use pip - DLRM model is based on DLRM MLPerf Training 0.7 Intel submission\n",
+    "### (Option 1) Use Pip install\n",
     "\n",
     "  * source: https://github.com/mlperf/training_results_v0.7/tree/master/Intel/benchmarks/dlrm/1-node-4s-cpx-pytorch\n",
     "  * It has strict dependencies to GCC version, torch version, oneCCL version."
@@ -277,11 +279,12 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "4cf5ce5f",
    "metadata": {},
    "source": [
-    "(Option 2) use docker"
+    "### (Option 2) Use Docker"
    ]
   },
   {
@@ -559,6 +562,15 @@
     "Noticed: set enable_sigopt to True, SDA will explore HyperParameter for this model. In our demo, we will use our searched best parameter."
    ]
   },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "2fbda6f7",
+   "metadata": {},
+   "source": [
+    "> Note: Bellow training script is just for demonstration, and uses small sampled dataset and runs a small iterations. For actual performance result, please refer to [performance](#performance)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,