1  {
   2    "nbformat": 4,
   3    "nbformat_minor": 0,
   4    "metadata": {
   5      "colab": {
   6        "name": "Course 3 - Week 1 - Lesson 1.ipynb",
   7        "provenance": [],
   8        "collapsed_sections": [],
   9        "toc_visible": true
  10      },
  11      "kernelspec": {
  12        "display_name": "Python 3",
  13        "name": "python3"
  14      }
  15    },
  16    "cells": [
  17      {
  18        "cell_type": "code",
  19        "metadata": {
  20          "id": "zX4Kg8DUTKWO"
  21        },
  22        "source": [
  23          "#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
  24          "# you may not use this file except in compliance with the License.\n",
  25          "# You may obtain a copy of the License at\n",
  26          "#\n",
  27          "# https://www.apache.org/licenses/LICENSE-2.0\n",
  28          "#\n",
  29          "# Unless required by applicable law or agreed to in writing, software\n",
  30          "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
  31          "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
  32          "# See the License for the specific language governing permissions and\n",
  33          "# limitations under the License."
  34        ],
  35        "execution_count": null,
  36        "outputs": []
  37      },
  38      {
  39        "cell_type": "markdown",
  40        "metadata": {
  41          "id": "view-in-github"
  42        },
  43        "source": [
  44          "<a href=\"https://colab.research.google.com/github/lmoroney/dlaicourse/blob/master/TensorFlow%20In%20Practice/Course%203%20-%20NLP/Course%203%20-%20Week%201%20-%20Lesson%201.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
  45        ]
  46      },
  47      {
  48        "cell_type": "markdown",
  49        "metadata": {
  50          "id": "rX8mhOLljYeM"
  51        },
  52        "source": [
  53          "##### Copyright 2019 The TensorFlow Authors."
  54        ]
  55      },
  56      {
  57        "cell_type": "code",
  58        "metadata": {
  59          "cellView": "form",
  60          "id": "BZSlp3DAjdYf"
  61        },
  62        "source": [
  63          "#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
  64          "# you may not use this file except in compliance with the License.\n",
  65          "# You may obtain a copy of the License at\n",
  66          "#\n",
  67          "# https://www.apache.org/licenses/LICENSE-2.0\n",
  68          "#\n",
  69          "# Unless required by applicable law or agreed to in writing, software\n",
  70          "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
  71          "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
  72          "# See the License for the specific language governing permissions and\n",
  73          "# limitations under the License."
  74        ],
  75        "execution_count": null,
  76        "outputs": []
  77      },
  78      {
  79        "cell_type": "code",
  80        "metadata": {
  81          "id": "zaCMcjMQifQc"
  82        },
  83        "source": [
  84          "from tensorflow.keras.preprocessing.text import Tokenizer\n",
  85          "\n",
  86          "sentences = [\n",
  87          "    'i love my dog',\n",
  88          "    'I, love my cat',\n",
  89          "    'You love my dog!'\n",
  90          "]\n",
  91          "\n",
  92          "tokenizer = Tokenizer(num_words = 100)\n",
  93          "tokenizer.fit_on_texts(sentences)\n",
  94          "word_index = tokenizer.word_index\n",
  95          "print(word_index)"
  96        ],
  97        "execution_count": null,
  98        "outputs": []
  99      }
 100    ]
 101  }