Deep Neural Network (Classification).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from keras.utils import to_categorical\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('neelabh_data_with_clusters.csv')\n",
    "df['datetime'] = pd.to_datetime(df['datetime'])\n",
    "df['hour'] = df['datetime'].dt.hour\n",
    "df['weekday'] = df['datetime'].dt.dayofweek\n",
    "df['month'] = df['datetime'].dt.month\n",
    "df['date'] = df['datetime'].dt.day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>clusterID</th>\n",
       "      <th>hour</th>\n",
       "      <th>weekday</th>\n",
       "      <th>month</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-04-27 18:01:54</td>\n",
       "      <td>32.733402</td>\n",
       "      <td>-97.113254</td>\n",
       "      <td>8</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-04-27 17:58:30</td>\n",
       "      <td>32.733626</td>\n",
       "      <td>-97.109255</td>\n",
       "      <td>8</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-04-27 09:54:03</td>\n",
       "      <td>32.733423</td>\n",
       "      <td>-97.103172</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-04-27 09:49:10</td>\n",
       "      <td>32.733399</td>\n",
       "      <td>-97.103327</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-04-26 22:55:31</td>\n",
       "      <td>32.733014</td>\n",
       "      <td>-97.103329</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             datetime   LATITUDE  LONGITUDE  clusterID  hour  weekday  month  \\\n",
       "0 2017-04-27 18:01:54  32.733402 -97.113254          8    18        3      4   \n",
       "1 2017-04-27 17:58:30  32.733626 -97.109255          8    17        3      4   \n",
       "2 2017-04-27 09:54:03  32.733423 -97.103172          1     9        3      4   \n",
       "3 2017-04-27 09:49:10  32.733399 -97.103327          1     9        3      4   \n",
       "4 2017-04-26 22:55:31  32.733014 -97.103329          1    22        2      4   \n",
       "\n",
       "   date  \n",
       "0    27  \n",
       "1    27  \n",
       "2    27  \n",
       "3    27  \n",
       "4    26  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "weather_df = pd.read_excel('Arlington_Weather.xlsx')\n",
    "weather_df['day'] = weather_df['DATE'].dt.dayofweek\n",
    "weather_df['month'] = weather_df['DATE'].dt.month\n",
    "weather_df['date'] = weather_df['DATE'].dt.day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE</th>\n",
       "      <th>PRCP</th>\n",
       "      <th>TAVG</th>\n",
       "      <th>TMAX</th>\n",
       "      <th>TMIN</th>\n",
       "      <th>TOBS</th>\n",
       "      <th>day</th>\n",
       "      <th>month</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>58.0</td>\n",
       "      <td>72</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-01-02</td>\n",
       "      <td>0.45</td>\n",
       "      <td>53.0</td>\n",
       "      <td>62</td>\n",
       "      <td>44</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-01-03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>60.0</td>\n",
       "      <td>71</td>\n",
       "      <td>49</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-01-04</td>\n",
       "      <td>0.00</td>\n",
       "      <td>42.5</td>\n",
       "      <td>53</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-01-05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>34.0</td>\n",
       "      <td>37</td>\n",
       "      <td>31</td>\n",
       "      <td>37</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        DATE  PRCP  TAVG  TMAX  TMIN  TOBS  day  month  date\n",
       "0 2017-01-01  0.00  58.0    72    44    44    6      1     1\n",
       "1 2017-01-02  0.45  53.0    62    44    54    0      1     2\n",
       "2 2017-01-03  0.00  60.0    71    49    50    1      1     3\n",
       "3 2017-01-04  0.00  42.5    53    32    32    2      1     4\n",
       "4 2017-01-05  0.00  34.0    37    31    37    3      1     5"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "prcp = []\n",
    "tavg = []\n",
    "for i in range(len(df)):\n",
    "    prcp.append(weather_df[((weather_df['month']==df.loc[i]['month']) & (weather_df['date']==df.loc[i]['date']))]['PRCP'].values[0])\n",
    "    tavg.append(weather_df[((weather_df['month']==df.loc[i]['month']) & (weather_df['date']==df.loc[i]['date']))]['TAVG'].values[0])\n",
    "PRCP = pd.DataFrame(np.array(prcp), columns=['PRCP'])\n",
    "TAVG = pd.DataFrame(np.array(tavg), columns=['TAVG'])\n",
    "df = pd.concat([df, PRCP, TAVG], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 8,  1,  4,  7,  3,  9, 10,  5,  2,  6])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['clusterID'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x119613450>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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xAunjNHrfBfRv66YSB5oqXXAkjBl3tNfm/enBmZz/tShUH9R7jE2UzXgLGKPf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rqPqy4v0YORfYwWBBRTlSXZR7HPfUhJSA8W8z0hPVhI9ZX7jM5W29UogdkFNvG3EDAD8Odvqz67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BdgdQXADPmhUAECKbzLWpthk4n3Rn59O0NSPE5nExD/U97NzYV+f5UGH3oqFXh6ZuEc6hCX9M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\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ktc5iPYnL9TQngV4n0eNSKLTqmWGSKJul09THGck34XZtoqvzr5llvgur6SKlM82ARLtT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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f81e650>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df[['clusterID', 'hour', 'weekday', 'PRCP', 'TAVG']], hue='clusterID')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x122222f90>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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8wCgKe3t7wsLCAOUV6YgRI6hWrRpt2rTB3Nxcte1NYmBpSU5ysup9TkoKeqam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\nrmJ/JAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12222cf10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(df.corr(), annot = True, linewidth=.9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>clusterID</th>\n",
       "      <th>hour</th>\n",
       "      <th>weekday</th>\n",
       "      <th>month</th>\n",
       "      <th>date</th>\n",
       "      <th>PRCP</th>\n",
       "      <th>TAVG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-04-27 18:01:54</td>\n",
       "      <td>32.733402</td>\n",
       "      <td>-97.113254</td>\n",
       "      <td>8</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>0.03</td>\n",
       "      <td>59.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-04-27 17:58:30</td>\n",
       "      <td>32.733626</td>\n",
       "      <td>-97.109255</td>\n",
       "      <td>8</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>0.03</td>\n",
       "      <td>59.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-04-27 09:54:03</td>\n",
       "      <td>32.733423</td>\n",
       "      <td>-97.103172</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>0.03</td>\n",
       "      <td>59.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-04-27 09:49:10</td>\n",
       "      <td>32.733399</td>\n",
       "      <td>-97.103327</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>0.03</td>\n",
       "      <td>59.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-04-26 22:55:31</td>\n",
       "      <td>32.733014</td>\n",
       "      <td>-97.103329</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>26</td>\n",
       "      <td>0.40</td>\n",
       "      <td>72.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             datetime   LATITUDE  LONGITUDE  clusterID  hour  weekday  month  \\\n",
       "0 2017-04-27 18:01:54  32.733402 -97.113254          8    18        3      4   \n",
       "1 2017-04-27 17:58:30  32.733626 -97.109255          8    17        3      4   \n",
       "2 2017-04-27 09:54:03  32.733423 -97.103172          1     9        3      4   \n",
       "3 2017-04-27 09:49:10  32.733399 -97.103327          1     9        3      4   \n",
       "4 2017-04-26 22:55:31  32.733014 -97.103329          1    22        2      4   \n",
       "\n",
       "   date  PRCP  TAVG  \n",
       "0    27  0.03  59.5  \n",
       "1    27  0.03  59.5  \n",
       "2    27  0.03  59.5  \n",
       "3    27  0.03  59.5  \n",
       "4    26  0.40  72.0  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# hour = to_categorical(df['hour'].as_matrix())\n",
    "# weekday = to_categorical(df['weekday'].as_matrix())\n",
    "month = to_categorical(df['month'].as_matrix())\n",
    "date = to_categorical(df['date'].as_matrix())\n",
    "# latitude = (df['LATITUDE']/df['LATITUDE'].max()).as_matrix().reshape(-1,1)\n",
    "# longitude = (df['LONGITUDE']/df['LONGITUDE'].max()).as_matrix().reshape(-1,1)\n",
    "latitude = df['LATITUDE'].as_matrix().reshape(-1,1)\n",
    "longitude = df['LONGITUDE'].as_matrix().reshape(-1,1)\n",
    "prcp = df['PRCP'].as_matrix().reshape(-1,1)\n",
    "tavg = (df['TAVG']/df['TAVG'].max()).as_matrix().reshape(-1,1)\n",
    "hour = (df['hour']/df['hour'].max()).as_matrix().reshape(-1,1)\n",
    "weekday = (df['weekday']/df['weekday'].max()).as_matrix().reshape(-1,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "X = np.concatenate((latitude, longitude, hour, weekday, prcp, tavg), axis=1)\n",
    "y = df['clusterID'].as_matrix()\n",
    "y_cat = to_categorical(y)\n",
    "y_cat = np.delete(y_cat, 1, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  3.27334024e+01,  -9.71132539e+01,   7.82608696e-01,\n",
       "         5.00000000e-01,   3.00000000e-02,   7.93333333e-01])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X[0,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4466, 6)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y_cat, test_size=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3126, 10)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2688"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['clusterID']==8].shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4466"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Dense\n",
    "from keras.optimizers import Adam, SGD\n",
    "from keras import backend as K"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "K.clear_session()\n",
    "model = Sequential()\n",
    "model.add(Dense(10, input_shape=(X_train.shape[1], ), activation='tanh'))\n",
    "model.add(Dense(10, activation='tanh'))\n",
    "model.add(Dense(10, activation='tanh'))\n",
    "model.add(Dense(10, activation='softmax'))\n",
    "model.compile(Adam(lr=0.03), loss=\n",
    "             'categorical_crossentropy', metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 2500 samples, validate on 626 samples\n",
      "Epoch 1/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.5066 - acc: 0.5960 - val_loss: 0.5116 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 2/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4767 - acc: 0.6004 - val_loss: 0.5230 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 3/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4765 - acc: 0.6004 - val_loss: 0.5179 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 4/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4819 - acc: 0.6004 - val_loss: 0.5192 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 5/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4896 - acc: 0.6004 - val_loss: 0.5404 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 6/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4807 - acc: 0.6004 - val_loss: 0.5478 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 7/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4825 - acc: 0.6004 - val_loss: 0.5177 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 8/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4785 - acc: 0.6004 - val_loss: 0.5399 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 9/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4765 - acc: 0.6004 - val_loss: 0.5471 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 10/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4787 - acc: 0.6004 - val_loss: 0.5430 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 11/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4785 - acc: 0.6004 - val_loss: 0.5699 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 12/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4803 - acc: 0.6004 - val_loss: 0.5594 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 13/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4841 - acc: 0.6004 - val_loss: 0.5309 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 14/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4949 - acc: 0.6004 - val_loss: 0.5221 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 15/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4814 - acc: 0.6004 - val_loss: 0.5369 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 16/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4827 - acc: 0.6004 - val_loss: 0.5303 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 17/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4780 - acc: 0.6004 - val_loss: 0.5449 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 18/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4815 - acc: 0.6004 - val_loss: 0.5202 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 19/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4788 - acc: 0.6004 - val_loss: 0.5386 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n",
      "Epoch 20/20\n",
      "2500/2500 [==============================] - 0s - loss: 0.4774 - acc: 0.6004 - val_loss: 0.5451 - val_acc: 0.6246\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x122db0690>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(X_train, y_train, epochs=20, validation_split=0.2, batch_size=16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "  32/1340 [..............................] - ETA: 0s"
     ]
    }
   ],
   "source": [
    "results = model.evaluate(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.52551373403463786, 0.59402985047938217]\n"
     ]
    }
   ],
   "source": [
    "print(results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  0,   0,   0,   0,   0,   0,   0, 383,   0,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,  13,   0,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,  13,   0,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0, 103,   0,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   7,   0,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   5,   0,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   6,   0,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0, 796,   0,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   8,   0,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   6,   0,   0]])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix, classification_report, accuracy_score\n",
    "result = model.predict(X_test)\n",
    "y_test_true = np.argmax(y_test, axis=1)\n",
    "y_pred_true = np.argmax(result, axis=1)\n",
    "confusion_matrix(y_test_true, y_pred_true)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Note:\n",
    "Jees, if you notice in cell number 36, I have pointed out that the cluster 8 is the one which has the highest number of data points. ClusterID 8 has 2688 out of 4466 points. So if one needs to guess a random classification blindly, he would be 2688/4466*100 % correct, i.e. 60% right. So we are doing as good as any person making a guess blindly. \n",
    "This is solely because of dominance of clusterID 8. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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