diff --git a/10_introduction_to_artificial_neural_networks.ipynb b/10_introduction_to_artificial_neural_networks.ipynb
index 7f9b57a..9684717 100644
--- a/10_introduction_to_artificial_neural_networks.ipynb
+++ b/10_introduction_to_artificial_neural_networks.ipynb
@@ -1631,48 +1631,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# 크롬 브라우저는 확인되었지만 다른 브라우저에서는 작동되지 않을 수 있습니다.\n",
-    "\n",
-    "from IPython.display import clear_output, Image, display, HTML\n",
-    "\n",
-    "def strip_consts(graph_def, max_const_size=32):\n",
-    "    \"\"\"Strip large constant values from graph_def.\"\"\"\n",
-    "    strip_def = tf.GraphDef()\n",
-    "    for n0 in graph_def.node:\n",
-    "        n = strip_def.node.add() \n",
-    "        n.MergeFrom(n0)\n",
-    "        if n.op == 'Const':\n",
-    "            tensor = n.attr['value'].tensor\n",
-    "            size = len(tensor.tensor_content)\n",
-    "            if size > max_const_size:\n",
-    "                tensor.tensor_content = b\"<stripped %d bytes>\"%size\n",
-    "    return strip_def\n",
-    "\n",
-    "def show_graph(graph_def, max_const_size=32):\n",
-    "    \"\"\"Visualize TensorFlow graph.\"\"\"\n",
-    "    if hasattr(graph_def, 'as_graph_def'):\n",
-    "        graph_def = graph_def.as_graph_def()\n",
-    "    strip_def = strip_consts(graph_def, max_const_size=max_const_size)\n",
-    "    code = \"\"\"\n",
-    "        <script>\n",
-    "          function load() {{\n",
-    "            document.getElementById(\"{id}\").pbtxt = {data};\n",
-    "          }}\n",
-    "        </script>\n",
-    "        <link rel=\"import\" href=\"https://tensorboard.appspot.com/tf-graph-basic.build.html\" onload=load()>\n",
-    "        <div style=\"height:600px\">\n",
-    "          <tf-graph-basic id=\"{id}\"></tf-graph-basic>\n",
-    "        </div>\n",
-    "    \"\"\".format(data=repr(str(strip_def)), id='graph'+str(np.random.rand()))\n",
-    "\n",
-    "    iframe = \"\"\"\n",
-    "        <iframe seamless style=\"width:1200px;height:620px;border:0\" srcdoc=\"{}\"></iframe>\n",
-    "    \"\"\".format(code.replace('\"', '&quot;'))\n",
-    "    display(HTML(iframe))"
+    "from tensorflow_graph_in_jupyter import show_graph"
    ]
   },
   {
@@ -2237,7 +2200,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.5"
+   "version": "3.6.5"
   },
   "nav_menu": {
    "height": "264px",
diff --git a/14_recurrent_neural_networks.ipynb b/14_recurrent_neural_networks.ipynb
index 3e08016..c023e2c 100644
--- a/14_recurrent_neural_networks.ipynb
+++ b/14_recurrent_neural_networks.ipynb
@@ -312,46 +312,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "from IPython.display import clear_output, Image, display, HTML\n",
-    "\n",
-    "def strip_consts(graph_def, max_const_size=32):\n",
-    "    \"\"\"Strip large constant values from graph_def.\"\"\"\n",
-    "    strip_def = tf.GraphDef()\n",
-    "    for n0 in graph_def.node:\n",
-    "        n = strip_def.node.add() \n",
-    "        n.MergeFrom(n0)\n",
-    "        if n.op == 'Const':\n",
-    "            tensor = n.attr['value'].tensor\n",
-    "            size = len(tensor.tensor_content)\n",
-    "            if size > max_const_size:\n",
-    "                tensor.tensor_content = \"b<stripped %d bytes>\"%size\n",
-    "    return strip_def\n",
-    "\n",
-    "def show_graph(graph_def, max_const_size=32):\n",
-    "    \"\"\"Visualize TensorFlow graph.\"\"\"\n",
-    "    if hasattr(graph_def, 'as_graph_def'):\n",
-    "        graph_def = graph_def.as_graph_def()\n",
-    "    strip_def = strip_consts(graph_def, max_const_size=max_const_size)\n",
-    "    code = \"\"\"\n",
-    "        <script>\n",
-    "          function load() {{\n",
-    "            document.getElementById(\"{id}\").pbtxt = {data};\n",
-    "          }}\n",
-    "        </script>\n",
-    "        <link rel=\"import\" href=\"https://tensorboard.appspot.com/tf-graph-basic.build.html\" onload=load()>\n",
-    "        <div style=\"height:600px\">\n",
-    "          <tf-graph-basic id=\"{id}\"></tf-graph-basic>\n",
-    "        </div>\n",
-    "    \"\"\".format(data=repr(str(strip_def)), id='graph'+str(np.random.rand()))\n",
-    "\n",
-    "    iframe = \"\"\"\n",
-    "        <iframe seamless style=\"width:1200px;height:620px;border:0\" srcdoc=\"{}\"></iframe>\n",
-    "    \"\"\".format(code.replace('\"', '&quot;'))\n",
-    "    display(HTML(iframe))"
+    "from tensorflow_graph_in_jupyter import show_graph"
    ]
   },
   {
@@ -3490,7 +3455,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.5"
+   "version": "3.6.5"
   },
   "nav_menu": {},
   "toc": {