Update Lorenz_inverse_Colab.ipynb

Author: lululxvi

examples/Lorenz_inverse_colab.ipynb renamed to examples/Lorenz_inverse_Colab.ipynb

@@ -4,7 +4,7 @@
   "metadata": {
     "orig_nbformat": 2,
     "colab": {
-      "name": "Lorenz_inverse_colab.ipynb",
+      "name": "Lorenz_inverse_Colab.ipynb",
       "provenance": [],
       "collapsed_sections": [],
       "include_colab_link": true
@@ -22,7 +22,7 @@
         "colab_type": "text"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/helonayala/deepxde/blob/master/examples/Lorenz_inverse_colab.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "<a href=\"https://colab.research.google.com/github/helonayala/deepxde/blob/master/examples/Lorenz_inverse_Colab.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
       ]
     },
     {
@@ -43,7 +43,7 @@
         "colab": {}
       },
       "source": [
-        "#!pip install 'deepxde==0.8.4'"
+        "#!pip install deepxde"
       ],
       "execution_count": 4,
       "outputs": []
@@ -74,15 +74,17 @@
         "from __future__ import division\n",
         "from __future__ import print_function\n",
         "\n",
+        "import io\n",
         "import re\n",
+        "\n",
+        "import matplotlib.pyplot as plt\n",
         "import numpy as np\n",
         "import requests\n",
-        "import io\n",
-        "import matplotlib.pyplot as plt\n",
         "\n",
         "import deepxde as dde\n",
         "from deepxde.backend import tf\n",
         "\n",
+        "\n",
         "# get training data\n",
         "def gen_traindata():\n",
         "    response = requests.get('https://github.com/lululxvi/deepxde/raw/master/examples/dataset/Lorenz.npz')\n",
@@ -445,4 +447,4 @@
       ]
     }
   ]
-}
+}