IMDB_movies_review_NN.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "IMDB movies review_NN.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "GQheKi53W0Qk"
      },
      "source": [
        "import numpy as np\n",
        "from keras.datasets import imdb\n",
        "from matplotlib import pyplot\n",
        "%matplotlib inline\n",
        "import matplotlib\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "#from keras.utils import to_categorical\n",
        "from keras import models\n",
        "from keras import layers"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UcYhslXtkC-9",
        "outputId": "cab3b00a-4582-49f9-f7ff-10b17ffc148b"
      },
      "source": [
        "(training_data, training_targets), (testing_data, testing_targets) = imdb.load_data(num_words=10000)\n",
        "data = np.concatenate((training_data, testing_data), axis=0)\n",
        "targets = np.concatenate((training_targets, testing_targets), axis=0)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<string>:6: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
            "/usr/local/lib/python3.7/dist-packages/keras/datasets/imdb.py:155: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
            "  x_train, y_train = np.array(xs[:idx]), np.array(labels[:idx])\n",
            "/usr/local/lib/python3.7/dist-packages/keras/datasets/imdb.py:156: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
            "  x_test, y_test = np.array(xs[idx:]), np.array(labels[idx:])\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wrCH3Hy7o8q-"
      },
      "source": [
        "print(\"Categories:\", np.unique(targets))\n",
        "print(\"Number of unique words:\", len(np.unique(np.hstack(data))))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3zgzav81XMhn",
        "outputId": "3f19b57f-9650-48a2-e3e2-0db6366b87df"
      },
      "source": [
        "index = imdb.get_word_index()\n",
        "reverse_index = dict([(value, key) for (key, value) in index.items()]) \n",
        "decoded = \" \".join( [reverse_index.get(i - 3, \"#\") for i in data[0]] )\n",
        "print(decoded)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "# this film was just brilliant casting location scenery story direction everyone's really suited the part they played and you could just imagine being there robert # is an amazing actor and now the same being director # father came from the same scottish island as myself so i loved the fact there was a real connection with this film the witty remarks throughout the film were great it was just brilliant so much that i bought the film as soon as it was released for # and would recommend it to everyone to watch and the fly fishing was amazing really cried at the end it was so sad and you know what they say if you cry at a film it must have been good and this definitely was also # to the two little boy's that played the # of norman and paul they were just brilliant children are often left out of the # list i think because the stars that play them all grown up are such a big profile for the whole film but these children are amazing and should be praised for what they have done don't you think the whole story was so lovely because it was true and was someone's life after all that was shared with us all\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1PYzM8SufyjY"
      },
      "source": [
        "def vectorize(sequences, dimension = 10000):\n",
        "  results = np.zeros((len(sequences), dimension))\n",
        "  for i, sequence in enumerate(sequences):\n",
        "    results[i, sequence] = 1\n",
        "  return results\n",
        " \n",
        "data = vectorize(data)  \n",
        "targets = np.array(targets).astype(\"float32\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F-hVL9RtXTnL"
      },
      "source": [
        "from keras import models,layers,optimizers,losses,metrics\n",
        "\n",
        "model=models.Sequential()\n",
        "model.add(layers.Dense(16, activation='relu', input_shape=(10000,)))\n",
        "model.add(layers.Dense(16, activation='relu'))\n",
        "model.add(layers.Dense(1, activation='sigmoid'))\n",
        "\n",
        "model.compile(optimizer='rmsprop', loss='binary_crossentropy', metrics=['accuracy'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CKqumeCUiIct",
        "outputId": "ae4b7a82-db5d-4142-be7c-a6e005dffaa9"
      },
      "source": [
        "test_x = data[:25000]\n",
        "test_y = targets[:25000]\n",
        "train_x = data[25000:]\n",
        "train_y = targets[25000:]\n",
        "test_x.shape,train_x.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((25000, 10000), (25000, 10000))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "p9fcgEGfkx4C"
      },
      "source": [
        "results = model.fit(\n",
        " train_x, train_y,\n",
        " epochs= 2,\n",
        " batch_size = 500,\n",
        " validation_data = (test_x, test_y)\n",
        ")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "73MjdkTyXl4x",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8654b646-94ec-401c-e157-3cb8aaa66ade"
      },
      "source": [
        "print(\"Test-Accuracy:\", np.mean(results.history[\"val_accuracy\"]))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Test-Accuracy: 0.8457559943199158\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "J1QvDq8_agv8",
        "outputId": "1ad5a935-d604-4c2b-845e-7df83546d9aa"
      },
      "source": [
        "index"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'fawn': 34701,\n",
              " 'tsukino': 52006,\n",
              " 'nunnery': 52007,\n",
              " 'sonja': 16816,\n",
              " 'vani': 63951,\n",
              " 'woods': 1408,\n",
              " 'spiders': 16115,\n",
              " 'hanging': 2345,\n",
              " 'woody': 2289,\n",
              " 'trawling': 52008,\n",
              " \"hold's\": 52009,\n",
              " 'comically': 11307,\n",
              " 'localized': 40830,\n",
              " 'disobeying': 30568,\n",
              " \"'royale\": 52010,\n",
              " \"harpo's\": 40831,\n",
              " 'canet': 52011,\n",
              " 'aileen': 19313,\n",
              " 'acurately': 52012,\n",
              " \"diplomat's\": 52013,\n",
              " 'rickman': 25242,\n",
              " 'arranged': 6746,\n",
              " 'rumbustious': 52014,\n",
              " 'familiarness': 52015,\n",
              " \"spider'\": 52016,\n",
              " 'hahahah': 68804,\n",
              " \"wood'\": 52017,\n",
              " 'transvestism': 40833,\n",
              " \"hangin'\": 34702,\n",
              " 'bringing': 2338,\n",
              " 'seamier': 40834,\n",
              " 'wooded': 34703,\n",
              " 'bravora': 52018,\n",
              " 'grueling': 16817,\n",
              " 'wooden': 1636,\n",
              " 'wednesday': 16818,\n",
              " \"'prix\": 52019,\n",
              " 'altagracia': 34704,\n",
              " 'circuitry': 52020,\n",
              " 'crotch': 11585,\n",
              " 'busybody': 57766,\n",
              " \"tart'n'tangy\": 52021,\n",
              " 'burgade': 14129,\n",
              " 'thrace': 52023,\n",
              " \"tom's\": 11038,\n",
              " 'snuggles': 52025,\n",
              " 'francesco': 29114,\n",
              " 'complainers': 52027,\n",
              " 'templarios': 52125,\n",
              " '272': 40835,\n",
              " '273': 52028,\n",
              " 'zaniacs': 52130,\n",
              " '275': 34706,\n",
              " 'consenting': 27631,\n",
              " 'snuggled': 40836,\n",
              " 'inanimate': 15492,\n",
              " 'uality': 52030,\n",
              " 'bronte': 11926,\n",
              " 'errors': 4010,\n",
              " 'dialogs': 3230,\n",
              " \"yomada's\": 52031,\n",
              " \"madman's\": 34707,\n",
              " 'dialoge': 30585,\n",
              " 'usenet': 52033,\n",
              " 'videodrome': 40837,\n",
              " \"kid'\": 26338,\n",
              " 'pawed': 52034,\n",
              " \"'girlfriend'\": 30569,\n",
              " \"'pleasure\": 52035,\n",
              " \"'reloaded'\": 52036,\n",
              " \"kazakos'\": 40839,\n",
              " 'rocque': 52037,\n",
              " 'mailings': 52038,\n",
              " 'brainwashed': 11927,\n",
              " 'mcanally': 16819,\n",
              " \"tom''\": 52039,\n",
              " 'kurupt': 25243,\n",
              " 'affiliated': 21905,\n",
              " 'babaganoosh': 52040,\n",
              " \"noe's\": 40840,\n",
              " 'quart': 40841,\n",
              " 'kids': 359,\n",
              " 'uplifting': 5034,\n",
              " 'controversy': 7093,\n",
              " 'kida': 21906,\n",
              " 'kidd': 23379,\n",
              " \"error'\": 52041,\n",
              " 'neurologist': 52042,\n",
              " 'spotty': 18510,\n",
              " 'cobblers': 30570,\n",
              " 'projection': 9878,\n",
              " 'fastforwarding': 40842,\n",
              " 'sters': 52043,\n",
              " \"eggar's\": 52044,\n",
              " 'etherything': 52045,\n",
              " 'gateshead': 40843,\n",
              " 'airball': 34708,\n",
              " 'unsinkable': 25244,\n",
              " 'stern': 7180,\n",
              " \"cervi's\": 52046,\n",
              " 'dnd': 40844,\n",
              " 'dna': 11586,\n",
              " 'insecurity': 20598,\n",
              " \"'reboot'\": 52047,\n",
              " 'trelkovsky': 11037,\n",
              " 'jaekel': 52048,\n",
              " 'sidebars': 52049,\n",
              " \"sforza's\": 52050,\n",
              " 'distortions': 17633,\n",
              " 'mutinies': 52051,\n",
              " 'sermons': 30602,\n",
              " '7ft': 40846,\n",
              " 'boobage': 52052,\n",
              " \"o'bannon's\": 52053,\n",
              " 'populations': 23380,\n",
              " 'chulak': 52054,\n",
              " 'mesmerize': 27633,\n",
              " 'quinnell': 52055,\n",
              " 'yahoo': 10307,\n",
              " 'meteorologist': 52057,\n",
              " 'beswick': 42577,\n",
              " 'boorman': 15493,\n",
              " 'voicework': 40847,\n",
              " \"ster'\": 52058,\n",
              " 'blustering': 22922,\n",
              " 'hj': 52059,\n",
              " 'intake': 27634,\n",
              " 'morally': 5621,\n",
              " 'jumbling': 40849,\n",
              " 'bowersock': 52060,\n",
              " \"'porky's'\": 52061,\n",
              " 'gershon': 16821,\n",
              " 'ludicrosity': 40850,\n",
              " 'coprophilia': 52062,\n",
              " 'expressively': 40851,\n",
              " \"india's\": 19500,\n",
              " \"post's\": 34710,\n",
              " 'wana': 52063,\n",
              " 'wang': 5283,\n",
              " 'wand': 30571,\n",
              " 'wane': 25245,\n",
              " 'edgeways': 52321,\n",
              " 'titanium': 34711,\n",
              " 'pinta': 40852,\n",
              " 'want': 178,\n",
              " 'pinto': 30572,\n",
              " 'whoopdedoodles': 52065,\n",
              " 'tchaikovsky': 21908,\n",
              " 'travel': 2103,\n",
              " \"'victory'\": 52066,\n",
              " 'copious': 11928,\n",
              " 'gouge': 22433,\n",
              " \"chapters'\": 52067,\n",
              " 'barbra': 6702,\n",
              " 'uselessness': 30573,\n",
              " \"wan'\": 52068,\n",
              " 'assimilated': 27635,\n",
              " 'petiot': 16116,\n",
              " 'most\\x85and': 52069,\n",
              " 'dinosaurs': 3930,\n",
              " 'wrong': 352,\n",
              " 'seda': 52070,\n",
              " 'stollen': 52071,\n",
              " 'sentencing': 34712,\n",
              " 'ouroboros': 40853,\n",
              " 'assimilates': 40854,\n",
              " 'colorfully': 40855,\n",
              " 'glenne': 27636,\n",
              " 'dongen': 52072,\n",
              " 'subplots': 4760,\n",
              " 'kiloton': 52073,\n",
              " 'chandon': 23381,\n",
              " \"effect'\": 34713,\n",
              " 'snugly': 27637,\n",
              " 'kuei': 40856,\n",
              " 'welcomed': 9092,\n",
              " 'dishonor': 30071,\n",
              " 'concurrence': 52075,\n",
              " 'stoicism': 23382,\n",
              " \"guys'\": 14896,\n",
              " \"beroemd'\": 52077,\n",
              " 'butcher': 6703,\n",
              " \"melfi's\": 40857,\n",
              " 'aargh': 30623,\n",
              " 'playhouse': 20599,\n",
              " 'wickedly': 11308,\n",
              " 'fit': 1180,\n",
              " 'labratory': 52078,\n",
              " 'lifeline': 40859,\n",
              " 'screaming': 1927,\n",
              " 'fix': 4287,\n",
              " 'cineliterate': 52079,\n",
              " 'fic': 52080,\n",
              " 'fia': 52081,\n",
              " 'fig': 34714,\n",
              " 'fmvs': 52082,\n",
              " 'fie': 52083,\n",
              " 'reentered': 52084,\n",
              " 'fin': 30574,\n",
              " 'doctresses': 52085,\n",
              " 'fil': 52086,\n",
              " 'zucker': 12606,\n",
              " 'ached': 31931,\n",
              " 'counsil': 52088,\n",
              " 'paterfamilias': 52089,\n",
              " 'songwriter': 13885,\n",
              " 'shivam': 34715,\n",
              " 'hurting': 9654,\n",
              " 'effects': 299,\n",
              " 'slauther': 52090,\n",
              " \"'flame'\": 52091,\n",
              " 'sommerset': 52092,\n",
              " 'interwhined': 52093,\n",
              " 'whacking': 27638,\n",
              " 'bartok': 52094,\n",
              " 'barton': 8775,\n",
              " 'frewer': 21909,\n",
              " \"fi'\": 52095,\n",
              " 'ingrid': 6192,\n",
              " 'stribor': 30575,\n",
              " 'approporiately': 52096,\n",
              " 'wobblyhand': 52097,\n",
              " 'tantalisingly': 52098,\n",
              " 'ankylosaurus': 52099,\n",
              " 'parasites': 17634,\n",
              " 'childen': 52100,\n",
              " \"jenkins'\": 52101,\n",
              " 'metafiction': 52102,\n",
              " 'golem': 17635,\n",
              " 'indiscretion': 40860,\n",
              " \"reeves'\": 23383,\n",
              " \"inamorata's\": 57781,\n",
              " 'brittannica': 52104,\n",
              " 'adapt': 7916,\n",
              " \"russo's\": 30576,\n",
              " 'guitarists': 48246,\n",
              " 'abbott': 10553,\n",
              " 'abbots': 40861,\n",
              " 'lanisha': 17649,\n",
              " 'magickal': 40863,\n",
              " 'mattter': 52105,\n",
              " \"'willy\": 52106,\n",
              " 'pumpkins': 34716,\n",
              " 'stuntpeople': 52107,\n",
              " 'estimate': 30577,\n",
              " 'ugghhh': 40864,\n",
              " 'gameplay': 11309,\n",
              " \"wern't\": 52108,\n",
              " \"n'sync\": 40865,\n",
              " 'sickeningly': 16117,\n",
              " 'chiara': 40866,\n",
              " 'disturbed': 4011,\n",
              " 'portmanteau': 40867,\n",
              " 'ineffectively': 52109,\n",
              " \"duchonvey's\": 82143,\n",
              " \"nasty'\": 37519,\n",
              " 'purpose': 1285,\n",
              " 'lazers': 52112,\n",
              " 'lightened': 28105,\n",
              " 'kaliganj': 52113,\n",
              " 'popularism': 52114,\n",
              " \"damme's\": 18511,\n",
              " 'stylistics': 30578,\n",
              " 'mindgaming': 52115,\n",
              " 'spoilerish': 46449,\n",
              " \"'corny'\": 52117,\n",
              " 'boerner': 34718,\n",
              " 'olds': 6792,\n",
              " 'bakelite': 52118,\n",
              " 'renovated': 27639,\n",
              " 'forrester': 27640,\n",
              " \"lumiere's\": 52119,\n",
              " 'gaskets': 52024,\n",
              " 'needed': 884,\n",
              " 'smight': 34719,\n",
              " 'master': 1297,\n",
              " \"edie's\": 25905,\n",
              " 'seeber': 40868,\n",
              " 'hiya': 52120,\n",
              " 'fuzziness': 52121,\n",
              " 'genesis': 14897,\n",
              " 'rewards': 12607,\n",
              " 'enthrall': 30579,\n",
              " \"'about\": 40869,\n",
              " \"recollection's\": 52122,\n",
              " 'mutilated': 11039,\n",
              " 'fatherlands': 52123,\n",
              " \"fischer's\": 52124,\n",
              " 'positively': 5399,\n",
              " '270': 34705,\n",
              " 'ahmed': 34720,\n",
              " 'zatoichi': 9836,\n",
              " 'bannister': 13886,\n",
              " 'anniversaries': 52127,\n",
              " \"helm's\": 30580,\n",
              " \"'work'\": 52128,\n",
              " 'exclaimed': 34721,\n",
              " \"'unfunny'\": 52129,\n",
              " '274': 52029,\n",
              " 'feeling': 544,\n",
              " \"wanda's\": 52131,\n",
              " 'dolan': 33266,\n",
              " '278': 52133,\n",
              " 'peacoat': 52134,\n",
              " 'brawny': 40870,\n",
              " 'mishra': 40871,\n",
              " 'worlders': 40872,\n",
              " 'protags': 52135,\n",
              " 'skullcap': 52136,\n",
              " 'dastagir': 57596,\n",
              " 'affairs': 5622,\n",
              " 'wholesome': 7799,\n",
              " 'hymen': 52137,\n",
              " 'paramedics': 25246,\n",
              " 'unpersons': 52138,\n",
              " 'heavyarms': 52139,\n",
              " 'affaire': 52140,\n",
              " 'coulisses': 52141,\n",
              " 'hymer': 40873,\n",
              " 'kremlin': 52142,\n",
              " 'shipments': 30581,\n",
              " 'pixilated': 52143,\n",
              " \"'00s\": 30582,\n",
              " 'diminishing': 18512,\n",
              " 'cinematic': 1357,\n",
              " 'resonates': 14898,\n",
              " 'simplify': 40874,\n",
              " \"nature'\": 40875,\n",
              " 'temptresses': 40876,\n",
              " 'reverence': 16822,\n",
              " 'resonated': 19502,\n",
              " 'dailey': 34722,\n",
              " '2\\x85': 52144,\n",
              " 'treize': 27641,\n",
              " 'majo': 52145,\n",
              " 'kiya': 21910,\n",
              " 'woolnough': 52146,\n",
              " 'thanatos': 39797,\n",
              " 'sandoval': 35731,\n",
              " 'dorama': 40879,\n",
              " \"o'shaughnessy\": 52147,\n",
              " 'tech': 4988,\n",
              " 'fugitives': 32018,\n",
              " 'teck': 30583,\n",
              " \"'e'\": 76125,\n",
              " 'doesn’t': 40881,\n",
              " 'purged': 52149,\n",
              " 'saying': 657,\n",
              " \"martians'\": 41095,\n",
              " 'norliss': 23418,\n",
              " 'dickey': 27642,\n",
              " 'dicker': 52152,\n",
              " \"'sependipity\": 52153,\n",
              " 'padded': 8422,\n",
              " 'ordell': 57792,\n",
              " \"sturges'\": 40882,\n",
              " 'independentcritics': 52154,\n",
              " 'tempted': 5745,\n",
              " \"atkinson's\": 34724,\n",
              " 'hounded': 25247,\n",
              " 'apace': 52155,\n",
              " 'clicked': 15494,\n",
              " \"'humor'\": 30584,\n",
              " \"martino's\": 17177,\n",
              " \"'supporting\": 52156,\n",
              " 'warmongering': 52032,\n",
              " \"zemeckis's\": 34725,\n",
              " 'lube': 21911,\n",
              " 'shocky': 52157,\n",
              " 'plate': 7476,\n",
              " 'plata': 40883,\n",
              " 'sturgess': 40884,\n",
              " \"nerds'\": 40885,\n",
              " 'plato': 20600,\n",
              " 'plath': 34726,\n",
              " 'platt': 40886,\n",
              " 'mcnab': 52159,\n",
              " 'clumsiness': 27643,\n",
              " 'altogether': 3899,\n",
              " 'massacring': 42584,\n",
              " 'bicenntinial': 52160,\n",
              " 'skaal': 40887,\n",
              " 'droning': 14360,\n",
              " 'lds': 8776,\n",
              " 'jaguar': 21912,\n",
              " \"cale's\": 34727,\n",
              " 'nicely': 1777,\n",
              " 'mummy': 4588,\n",
              " \"lot's\": 18513,\n",
              " 'patch': 10086,\n",
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              " 'cherbourg': 34770,\n",
              " 'kagan': 28624,\n",
              " 'snatch': 9097,\n",
              " \"miyazaki's\": 9260,\n",
              " 'absorbs': 25264,\n",
              " \"koltai's\": 40970,\n",
              " 'tingled': 64027,\n",
              " 'crossroads': 19511,\n",
              " 'rehab': 16121,\n",
              " 'falworth': 52389,\n",
              " 'sequals': 52390,\n",
              " ...}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    }
  ]
}