Pixel_Gen_RNNs.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7zUFIVFgBqiE"
   },
   "source": [
    "# Pixel Generation using RNNs\n",
    "Here the goal is to generate images based on the fact that some part is given(like the input is the top half and the job of the model isto predict the bottom half). So that the resulting image is a complete image"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "u8gChRQzBzHR"
   },
   "source": [
    "## Importing the libraries and dependencies and drive\n",
    "The following cell block imports all the libraries, functions, methods that are being used inn this jupyter notebook.<br>\n",
    "The Deep Learning/Machine Learning Libarary being used here is the high level keras API of tensorflow 2.X.<Br>\n",
    "And the plotting is done with matplotlib or seaborn plotting packages.\n",
    "\n",
    "Along with this all the constants that will be common throughout the file are defined and declared here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "V8ycuGZfBwjo",
    "outputId": "9a121beb-059a-4f43-f51c-a6d8d4786f5c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mounted at /content/drive\n"
     ]
    }
   ],
   "source": [
    "from google.colab import drive\n",
    "drive.mount('/content/drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "9E_QU8qzB3a2"
   },
   "outputs": [],
   "source": [
    "import random, math, os, pickle, random, librosa\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import tensorflow as tf\n",
    "import matplotlib.pyplot as plt\n",
    "import tensorflow_datasets as tfds\n",
    "from itertools import combinations\n",
    "%matplotlib inline\n",
    "\n",
    "EPOCHS = 200\n",
    "BATCH_SIZE = 128\n",
    "IMG_SIZE = (28,28)\n",
    "SEED = 100\n",
    "CLASSES = 10\n",
    "LEARNING_RATE = 0.001\n",
    "ACCURACY_THRESHOLD = 0.98"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "SGS71F50B6iA"
   },
   "source": [
    "## Loading Data\n",
    "The following block of code loads MNIST data in two formats.\n",
    "- First is through the dataset module from keras which loads data in numpy arrays.\n",
    "- Second is the TFDS - Tensorflow dataset module which loads data in the format of tenorflow_dataset whic makes it fast o process and load data onto and away from the memory(GPU/CPU)\n",
    "\n",
    "I experimented with both the above techniques but the second one was very fast and thats what i am sticking with.\n",
    "As it loads the next batch of data onto GPU memory while the current batch is being operated on - this is done with the prefetching functionality of the tensirflow_dataset module."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 208,
     "referenced_widgets": [
      "593ae7356e944c9c94b42f2d414361ed",
      "a6f6f1182f0440fead7e7e0df6cdb975",
      "045e6f349f944b91b39071ed03d6d37a",
      "25e251dd28b04be290d2fea8182a5541",
      "2ab17a06972d481ca7d711524415c2c2",
      "c797e0f2040845ea8f5db53eefed5269",
      "306c974cd36a428592bcc65461601bdd",
      "903c128ddab64ff29b1a90c237ec1bf3",
      "e8a231f12c6748b586e57d3f8bba69de",
      "22212a9e0cf3444d9a9252eece1b7edb",
      "a5224158997c4b9da9c39c677b2a80ca"
     ]
    },
    "id": "h3e2sK3PB9AG",
    "outputId": "298efd2f-8ff0-42e6-f565-5a64aa86bdaf"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mDownloading and preparing dataset mnist/3.0.1 (download: 11.06 MiB, generated: 21.00 MiB, total: 32.06 MiB) to /root/tensorflow_datasets/mnist/3.0.1...\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Dataset mnist is hosted on GCS. It will automatically be downloaded to your\n",
      "local data directory. If you'd instead prefer to read directly from our public\n",
      "GCS bucket (recommended if you're running on GCP), you can instead pass\n",
      "`try_gcs=True` to `tfds.load` or set `data_dir=gs://tfds-data/datasets`.\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "593ae7356e944c9c94b42f2d414361ed",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dl Completed...:   0%|          | 0/4 [00:00<?, ? file/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[1mDataset mnist downloaded and prepared to /root/tensorflow_datasets/mnist/3.0.1. Subsequent calls will reuse this data.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "# df_train, df_test = tf.keras.datasets.mnist.load_data()\n",
    "\n",
    "(df_train, df_test), df_info = tfds.load(\n",
    "    'mnist',\n",
    "    split=['train', 'test'],\n",
    "    shuffle_files = False,\n",
    "    with_info = True,\n",
    "    as_supervised = True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "TyRGR8byB-jT",
    "outputId": "8333dfd4-e202-48b7-ace0-89eb5f2299c7"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tfds.core.DatasetInfo(\n",
       "    name='mnist',\n",
       "    version=3.0.1,\n",
       "    description='The MNIST database of handwritten digits.',\n",
       "    homepage='http://yann.lecun.com/exdb/mnist/',\n",
       "    features=FeaturesDict({\n",
       "        'image': Image(shape=(28, 28, 1), dtype=tf.uint8),\n",
       "        'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=10),\n",
       "    }),\n",
       "    total_num_examples=70000,\n",
       "    splits={\n",
       "        'test': 10000,\n",
       "        'train': 60000,\n",
       "    },\n",
       "    supervised_keys=('image', 'label'),\n",
       "    citation=\"\"\"@article{lecun2010mnist,\n",
       "      title={MNIST handwritten digit database},\n",
       "      author={LeCun, Yann and Cortes, Corinna and Burges, CJ},\n",
       "      journal={ATT Labs [Online]. Available: http://yann.lecun.com/exdb/mnist},\n",
       "      volume={2},\n",
       "      year={2010}\n",
       "    }\"\"\",\n",
       "    redistribution_info=,\n",
       ")"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_info"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "PaKE_UtucllE"
   },
   "source": [
    "## Labels for the data & Look at the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "BvGM3-aAcg5U",
    "outputId": "90dcbda9-ab86-4c57-c57f-e2ba59cf672e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: '0',\n",
       " 1: '1',\n",
       " 2: '2',\n",
       " 3: '3',\n",
       " 4: '4',\n",
       " 5: '5',\n",
       " 6: '6',\n",
       " 7: '7',\n",
       " 8: '8',\n",
       " 9: '9'}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "{df_info.features['label'].str2int(x):x for x in df_info.features['label'].names}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 534
    },
    "id": "mr7lGXtHcphq",
    "outputId": "723d9f3e-8a1d-41cb-b245-1345a7961dc9"
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 648x648 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = tfds.show_examples(df_train, df_info)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "t9yWC84Cc5Yy"
   },
   "source": [
    "Processing the dataset and turning each set into a trainable and testable sets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "j5F-7r7Bc0Cl"
   },
   "outputs": [],
   "source": [
    "# (df_train, df_test), df_info = tfds.load(\n",
    "#     'mnist',\n",
    "#     split=['train', 'test'],\n",
    "#     shuffle_files = False,\n",
    "#     with_info = True,\n",
    "#     as_supervised = True\n",
    "# )\n",
    "\n",
    "# def normalize(image, label):\n",
    "#     return tf.cast(image, tf.float32) / 255., tf.one_hot(label, depth=10)\n",
    "\n",
    "# def convert_image_into_sequences(image, label):\n",
    "#     image = tf.constant(image).numpy()\n",
    "#     # image_flat = tf.Variable(np.zeros((16, 49)), dtype=np.float32)\n",
    "#     image_flat = np.zeros((16, 49))\n",
    "#     i = 0\n",
    "#     for x in range(0,21, 7):\n",
    "#         for y in range(0, 21, 7):\n",
    "#             # image_flat[i,:] = tf.reshape(image[x:x+7, y:y+7], [-1])\n",
    "#             image_flat[i,:] = image[x:x+7, y:y+7].flatten()\n",
    "#             i += 1\n",
    "#     return image_flat[:15], image_flat[1:]\n",
    "\n",
    "# df_train = df_train.map(normalize, \n",
    "#                         num_parallel_calls = tf.data.experimental.AUTOTUNE)\n",
    "# df_train = df_train.map(convert_image_into_sequences, \n",
    "#                         num_parallel_calls = tf.data.experimental.AUTOTUNE)\n",
    "# df_train = df_train.cache()\n",
    "# df_train = df_train.shuffle(df_info.splits['train'].num_examples)\n",
    "# df_train = df_train.batch(BATCH_SIZE)\n",
    "# df_train = df_train.prefetch(tf.data.experimental.AUTOTUNE)\n",
    "\n",
    "# df_test = df_test.map(normalize, \n",
    "#                       num_parallel_calls = tf.data.experimental.AUTOTUNE)\n",
    "# df_test = df_test.map(convert_image_into_sequences, \n",
    "#                       num_parallel_calls = tf.data.experimental.AUTOTUNE)\n",
    "# df_test = df_test.cache()\n",
    "# df_test = df_test.batch(BATCH_SIZE)\n",
    "# df_test = df_test.prefetch(tf.data.experimental.AUTOTUNE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "0W6iOxUgpCwe"
   },
   "outputs": [],
   "source": [
    "class CustomCallback(tf.keras.callbacks.Callback):\n",
    "    def on_epoch_end(self, epoch, logs=None):\n",
    "        if(logs.get('val_accuracy') > ACCURACY_THRESHOLD):   \n",
    "            print(\"\\nReached %2.2f%% validation accuracy, so stopping training!!\" %(ACCURACY_THRESHOLD*100))   \n",
    "            self.model.stop_training = True\n",
    "\n",
    "# checkpoint = keras.callbacks.ModelCheckpoint('', monitor='accuracy', mode='max', verbose=1, save_best_only=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "QqHoRGcFtIyV"
   },
   "source": [
    "## Preprocessing the images and labels\n",
    "Converting the input and generating the output in the format of :\n",
    "- Divide the image into 2 parts - Top and bottom\n",
    "- Where the top part will be used to predict the bottom half\n",
    "- So, the bottom half is the target "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "0_B5J7Q1vl7w",
    "outputId": "d9bb5dd5-c390-49ea-da00-96787f6cdbfc"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n",
      "11493376/11490434 [==============================] - 0s 0us/step\n",
      "11501568/11490434 [==============================] - 0s 0us/step\n"
     ]
    }
   ],
   "source": [
    "(train_imgs, train_labels), (test_imgs, test_labels) = tf.keras.datasets.mnist.load_data()\n",
    "train_imgs = 2*((train_imgs/255.)-0.5)\n",
    "test_imgs = 2*((test_imgs/255.)-0.5)\n",
    "\n",
    "def convert_image_into_sequences(image):\n",
    "    image_flat = np.zeros((16, 49))\n",
    "    i = 0\n",
    "    for x in range(0,22, 7):\n",
    "        for y in range(0, 22, 7):\n",
    "            image_flat[i,:] = image[x:x+7, y:y+7].flatten()\n",
    "            i += 1\n",
    "    return image_flat, image_flat[:15], image_flat[1:]\n",
    "\n",
    "df_train = []\n",
    "train_target = []\n",
    "\n",
    "df_test = []\n",
    "train_test = []\n",
    "\n",
    "for image in train_imgs:\n",
    "    _, x, y = convert_image_into_sequences(image)\n",
    "    df_train.append(x)\n",
    "    train_target.append(y)\n",
    "\n",
    "for image in test_imgs:\n",
    "    _, x, y = convert_image_into_sequences(image)\n",
    "    df_test.append(x)\n",
    "    train_test.append(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "nYnKlChSwgPe"
   },
   "outputs": [],
   "source": [
    "df_train = np.stack(df_train)\n",
    "train_target = np.stack(train_target)\n",
    "\n",
    "df_test = np.stack(df_test)\n",
    "train_test = np.stack(train_test)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Custom Loss function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "FCPvu4D_FI3T"
   },
   "outputs": [],
   "source": [
    "def my_loss_fn(y_true, y_pred):\n",
    "    # Euclidean Distance between vectors\n",
    "    summ = tf.reduce_mean((y_true - y_pred)**2, 1)\n",
    "    return tf.reduce_mean(summ)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "VwqH85jztUyD"
   },
   "source": [
    "## Model architecture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "PIjxroKaiOYw",
    "outputId": "4ed812ef-9f08-45bd-9640-b53d2405aacd"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_8\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_24 (LSTM)              (None, None, 64)          29184     \n",
      "                                                                 \n",
      " batch_normalization_24 (Bat  (None, None, 64)         256       \n",
      " chNormalization)                                                \n",
      "                                                                 \n",
      " dropout_24 (Dropout)        (None, None, 64)          0         \n",
      "                                                                 \n",
      " lstm_25 (LSTM)              (None, None, 128)         98816     \n",
      "                                                                 \n",
      " batch_normalization_25 (Bat  (None, None, 128)        512       \n",
      " chNormalization)                                                \n",
      "                                                                 \n",
      " dropout_25 (Dropout)        (None, None, 128)         0         \n",
      "                                                                 \n",
      " lstm_26 (LSTM)              (None, None, 64)          49408     \n",
      "                                                                 \n",
      " batch_normalization_26 (Bat  (None, None, 64)         256       \n",
      " chNormalization)                                                \n",
      "                                                                 \n",
      " dropout_26 (Dropout)        (None, None, 64)          0         \n",
      "                                                                 \n",
      " dense_8 (Dense)             (None, None, 49)          3185      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 181,617\n",
      "Trainable params: 181,105\n",
      "Non-trainable params: 512\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model = tf.keras.Sequential([\n",
    "                             tf.keras.layers.Input(shape=(None, 49)),\n",
    "                             tf.keras.layers.LSTM(64, return_sequences=True),\n",
    "                             tf.keras.layers.BatchNormalization(),\n",
    "                             tf.keras.layers.Dropout(0.2),\n",
    "                             tf.keras.layers.LSTM(128, return_sequences=True),\n",
    "                             tf.keras.layers.BatchNormalization(),\n",
    "                             tf.keras.layers.Dropout(0.2),\n",
    "                             tf.keras.layers.LSTM(64, return_sequences=True),\n",
    "                             tf.keras.layers.BatchNormalization(),\n",
    "                             tf.keras.layers.Dropout(0.2),\n",
    "                             tf.keras.layers.Dense(49, activation = 'tanh')\n",
    "])\n",
    "model.compile(loss = my_loss_fn,\n",
    "              optimizer = 'adam')\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "INnaGUnZz5AC",
    "outputId": "c270657e-6d15-44c5-ce01-cabc90a664aa"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((10000, 15, 49), (60000, 15, 49))"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_test.shape, df_train.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_u00X-iQtYMz"
   },
   "source": [
    "## Training\n",
    "With early stopping over validation data and taking the minimum of the last 10 epochs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "l0YZvMUeoxlL",
    "outputId": "89e472ae-ac3f-414b-fa7a-22e20631f185"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/200\n",
      "600/600 [==============================] - 14s 14ms/step - loss: 0.3641 - val_loss: 0.2263\n",
      "Epoch 2/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1947 - val_loss: 0.1596\n",
      "Epoch 3/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1712 - val_loss: 0.1443\n",
      "Epoch 4/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1592 - val_loss: 0.1366\n",
      "Epoch 5/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1515 - val_loss: 0.1328\n",
      "Epoch 6/200\n",
      "600/600 [==============================] - 6s 11ms/step - loss: 0.1463 - val_loss: 0.1283\n",
      "Epoch 7/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1425 - val_loss: 0.1285\n",
      "Epoch 8/200\n",
      "600/600 [==============================] - 6s 11ms/step - loss: 0.1396 - val_loss: 0.1258\n",
      "Epoch 9/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1374 - val_loss: 0.1226\n",
      "Epoch 10/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1353 - val_loss: 0.1197\n",
      "Epoch 11/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1336 - val_loss: 0.1189\n",
      "Epoch 12/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1322 - val_loss: 0.1186\n",
      "Epoch 13/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1310 - val_loss: 0.1208\n",
      "Epoch 14/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1300 - val_loss: 0.1176\n",
      "Epoch 15/200\n",
      "600/600 [==============================] - 6s 11ms/step - loss: 0.1290 - val_loss: 0.1168\n",
      "Epoch 16/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1281 - val_loss: 0.1154\n",
      "Epoch 17/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1274 - val_loss: 0.1150\n",
      "Epoch 18/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1267 - val_loss: 0.1148\n",
      "Epoch 19/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1262 - val_loss: 0.1139\n",
      "Epoch 20/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1255 - val_loss: 0.1135\n",
      "Epoch 21/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1250 - val_loss: 0.1137\n",
      "Epoch 22/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1246 - val_loss: 0.1128\n",
      "Epoch 23/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1240 - val_loss: 0.1124\n",
      "Epoch 24/200\n",
      "600/600 [==============================] - 8s 13ms/step - loss: 0.1236 - val_loss: 0.1122\n",
      "Epoch 25/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1232 - val_loss: 0.1130\n",
      "Epoch 26/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1228 - val_loss: 0.1118\n",
      "Epoch 27/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1225 - val_loss: 0.1112\n",
      "Epoch 28/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1223 - val_loss: 0.1111\n",
      "Epoch 29/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1218 - val_loss: 0.1114\n",
      "Epoch 30/200\n",
      "600/600 [==============================] - 6s 11ms/step - loss: 0.1216 - val_loss: 0.1105\n",
      "Epoch 31/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1213 - val_loss: 0.1105\n",
      "Epoch 32/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1210 - val_loss: 0.1101\n",
      "Epoch 33/200\n",
      "600/600 [==============================] - 6s 11ms/step - loss: 0.1208 - val_loss: 0.1103\n",
      "Epoch 34/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1205 - val_loss: 0.1110\n",
      "Epoch 35/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1204 - val_loss: 0.1099\n",
      "Epoch 36/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1202 - val_loss: 0.1102\n",
      "Epoch 37/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1198 - val_loss: 0.1093\n",
      "Epoch 38/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1197 - val_loss: 0.1109\n",
      "Epoch 39/200\n",
      "600/600 [==============================] - 8s 13ms/step - loss: 0.1195 - val_loss: 0.1123\n",
      "Epoch 40/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1193 - val_loss: 0.1086\n",
      "Epoch 41/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1192 - val_loss: 0.1088\n",
      "Epoch 42/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1190 - val_loss: 0.1094\n",
      "Epoch 43/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1188 - val_loss: 0.1095\n",
      "Epoch 44/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1186 - val_loss: 0.1098\n",
      "Epoch 45/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1185 - val_loss: 0.1090\n",
      "Epoch 46/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1184 - val_loss: 0.1092\n",
      "Epoch 47/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1182 - val_loss: 0.1101\n",
      "Epoch 48/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1180 - val_loss: 0.1080\n",
      "Epoch 49/200\n",
      "600/600 [==============================] - 8s 13ms/step - loss: 0.1179 - val_loss: 0.1088\n",
      "Epoch 50/200\n",
      "600/600 [==============================] - 8s 13ms/step - loss: 0.1179 - val_loss: 0.1083\n",
      "Epoch 51/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1176 - val_loss: 0.1089\n",
      "Epoch 52/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1174 - val_loss: 0.1080\n",
      "Epoch 53/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1173 - val_loss: 0.1080\n",
      "Epoch 54/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1172 - val_loss: 0.1075\n",
      "Epoch 55/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1171 - val_loss: 0.1081\n",
      "Epoch 56/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1171 - val_loss: 0.1093\n",
      "Epoch 57/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1169 - val_loss: 0.1077\n",
      "Epoch 58/200\n",
      "600/600 [==============================] - 8s 13ms/step - loss: 0.1168 - val_loss: 0.1081\n",
      "Epoch 59/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1168 - val_loss: 0.1081\n",
      "Epoch 60/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1166 - val_loss: 0.1080\n",
      "Epoch 61/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1166 - val_loss: 0.1074\n",
      "Epoch 62/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1165 - val_loss: 0.1082\n",
      "Epoch 63/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1163 - val_loss: 0.1082\n",
      "Epoch 64/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1163 - val_loss: 0.1071\n",
      "Epoch 65/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1161 - val_loss: 0.1077\n",
      "Epoch 66/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1161 - val_loss: 0.1074\n",
      "Epoch 67/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1160 - val_loss: 0.1074\n",
      "Epoch 68/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1159 - val_loss: 0.1088\n",
      "Epoch 69/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1159 - val_loss: 0.1094\n",
      "Epoch 70/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1158 - val_loss: 0.1070\n",
      "Epoch 71/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1156 - val_loss: 0.1076\n",
      "Epoch 72/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1156 - val_loss: 0.1077\n",
      "Epoch 73/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1154 - val_loss: 0.1073\n",
      "Epoch 74/200\n",
      "600/600 [==============================] - 8s 13ms/step - loss: 0.1153 - val_loss: 0.1072\n",
      "Epoch 75/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1153 - val_loss: 0.1071\n",
      "Epoch 76/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1152 - val_loss: 0.1073\n",
      "Epoch 77/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1152 - val_loss: 0.1071\n",
      "Epoch 78/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1151 - val_loss: 0.1075\n",
      "Epoch 79/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1150 - val_loss: 0.1069\n",
      "Epoch 80/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1149 - val_loss: 0.1070\n",
      "Epoch 81/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1150 - val_loss: 0.1068\n",
      "Epoch 82/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1149 - val_loss: 0.1071\n",
      "Epoch 83/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1147 - val_loss: 0.1074\n",
      "Epoch 84/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1147 - val_loss: 0.1070\n",
      "Epoch 85/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1147 - val_loss: 0.1078\n",
      "Epoch 86/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1146 - val_loss: 0.1072\n",
      "Epoch 87/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1145 - val_loss: 0.1065\n",
      "Epoch 88/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1144 - val_loss: 0.1067\n",
      "Epoch 89/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1144 - val_loss: 0.1064\n",
      "Epoch 90/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1144 - val_loss: 0.1071\n",
      "Epoch 91/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1143 - val_loss: 0.1069\n",
      "Epoch 92/200\n",
      "600/600 [==============================] - 8s 13ms/step - loss: 0.1142 - val_loss: 0.1065\n",
      "Epoch 93/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1142 - val_loss: 0.1070\n",
      "Epoch 94/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1141 - val_loss: 0.1067\n",
      "Epoch 95/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1141 - val_loss: 0.1072\n",
      "Epoch 96/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1141 - val_loss: 0.1078\n",
      "Epoch 97/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1140 - val_loss: 0.1062\n",
      "Epoch 98/200\n",
      "600/600 [==============================] - 8s 13ms/step - loss: 0.1139 - val_loss: 0.1072\n",
      "Epoch 99/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1139 - val_loss: 0.1063\n",
      "Epoch 100/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1139 - val_loss: 0.1091\n",
      "Epoch 101/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1138 - val_loss: 0.1061\n",
      "Epoch 102/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1138 - val_loss: 0.1064\n",
      "Epoch 103/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1138 - val_loss: 0.1064\n",
      "Epoch 104/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1137 - val_loss: 0.1061\n",
      "Epoch 105/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1136 - val_loss: 0.1067\n",
      "Epoch 106/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1135 - val_loss: 0.1062\n",
      "Epoch 107/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1135 - val_loss: 0.1066\n",
      "Epoch 108/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1135 - val_loss: 0.1065\n",
      "Epoch 109/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1134 - val_loss: 0.1065\n",
      "Epoch 110/200\n",
      "600/600 [==============================] - 7s 11ms/step - loss: 0.1134 - val_loss: 0.1064\n",
      "Epoch 111/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1133 - val_loss: 0.1061\n",
      "Epoch 112/200\n",
      "600/600 [==============================] - 8s 13ms/step - loss: 0.1133 - val_loss: 0.1073\n",
      "Epoch 113/200\n",
      "600/600 [==============================] - 7s 12ms/step - loss: 0.1133 - val_loss: 0.1071\n",
      "Epoch 114/200\n",
      "600/600 [==============================] - 8s 13ms/step - loss: 0.1134 - val_loss: 0.1066\n",
      "Epoch 00114: early stopping\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7f5325ef9750>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "es = tf.keras.callbacks.EarlyStopping(monitor='val_loss', mode='min', verbose=1, patience=10)\n",
    "model.fit(df_train, train_target, validation_data = (df_test, train_test), epochs=200, batch_size=100, callbacks = [es])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "i7zo9dKTtr_o"
   },
   "source": [
    "## Plot of the Loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 282
    },
    "id": "R04aB0HwIkBx",
    "outputId": "1cc5dc7d-5442-41ef-824f-dba924705cd8"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f52a7850590>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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6EZF8oQv6WDSiuW5ERPKELujVdSMisrcQBr26bkRE8oUu6DXqRkRkb6ELeo2jFxHZm4JeRCTkQhf0sahprhsRkTyhC3qNuhER2VsIg9504xERkTyhC/pYRH30IiL5Qhf06roREdlbCIPeNAWCiEie0AW9v/GIWvQiIjmhC3qNoxcR2Vsog15TIIiItAtd0McimtRMRCRf6II+Ho2QzjqcU6teRARCGfQGoGkQREQCoQv6WNQfkrpvRES88AV9xLfoNcRSRMQLXdAnYv6QNN+NiIgXuqCPRYKgVx+9iAgQxqAPLsYm02rRi4hACIM+EVWLXkQkX+iCPteiVx+9iIhXUNCb2flmttbM1pnZNzp4/StmttrMVprZU2Y2Iu+1jJmtCH4Wd2fhO5Lro08q6EVEAIgdbAUziwJ3A38F1ABLzWyxc2513mqvAtXOuSYzuw74PvCZ4LVm59yUbi53pxKxXIteXTciIlBYi34GsM45t8E5lwQWAnPzV3DOPeOcawqevgQM695iFq591I1a9CIiUFjQDwU25T2vCZZ15gvA43nPi81smZm9ZGaf7GgDM7s6WGdZbW1tAUXqXPuoG7XoRUSggK6brjCzzwLVwLl5i0c45zab2WjgaTN73Tm3Pn8759w9wD0A1dXVh5XQ7aNu1KIXEYHCWvSbgeF5z4cFy/ZiZh8B/gGY45xrzS13zm0Ofm8AngWmHkZ5Dyo314366EVEvEKCfikwxsxGmVkCmAfsNXrGzKYCP8WH/La85ZVmVhQ8HgicDeRfxO12ubluNOpGRMQ7aNeNcy5tZtcDTwBR4D7n3CozuxVY5pxbDPwzUA48bGYA7zrn5gCnAj81syy+Url9n9E63a59rhu16EVEoMA+eufcEmDJPsu+lff4I51s9yIw8XAK2FW5Fr366EVEvNB9MzYe9NFrrhsRES+0Qa+5bkREvNAFvea6ERHZW+iCPh7J3UpQLXoREQhh0Oda9LpnrIiIF7qgVx+9iMjeQhj0atGLiOQLXdCbGdGIKehFRAKhC3rwrXp9M1ZExAtn0EciGnUjIhIIZdDHouq6ERHJCU/QN26D20fA8vuJRyOa60ZEJBCeoI+XQMtuaKkjHlXXjYhIToiCvgwwaG1U142ISJ7wBH0kAolyaG3wXTdq0YuIAGEKeoCiCkg2ENM4ehGRNiEL+nJobQz66BX0IiIQtqBv67oxzXUjIhIIV9AXVUCykZha9CIibcIX9LkWvS7GiogAoQx69dGLiOQLV9AnyqG1npjmuhERaROuoA/66OMRNAWCiEggZEFfDtk0pZG0WvQiIoFYTxegWxX1AaDMmhX0IiKBcLXoE+UAlLtmjboREQmEK+iLKgAopVmjbkREAiELet+iL1PQi4i0CVnQ51r0TZoCQUQkUFDQm9n5ZrbWzNaZ2Tc6eP0rZrbazFaa2VNmNiLvtSvM7O3g54ruLPx+Ej7oS5xa9CIiOQcNejOLAncDFwATgPlmNmGf1V4Fqp1zk4BHgO8H2/YHbgZmAjOAm82ssvuKv4+i/KB3OKdWvYhIIS36GcA659wG51wSWAjMzV/BOfeMc64pePoSMCx4/DHgj865nc65XcAfgfO7p+gdCProS7K+KBl134iIFBT0Q4FNec9rgmWd+QLweFe2NbOrzWyZmS2rra0toEidCG4nWBwEvfrpRUS6+WKsmX0WqAb+uSvbOefucc5VO+eqq6qqDr0Awe0Ei4KgT6qfXkSkoKDfDAzPez4sWLYXM/sI8A/AHOdca1e27VZFFRRn9wDoS1MiIhQW9EuBMWY2yswSwDxgcf4KZjYV+Ck+5LflvfQE8FEzqwwuwn40WHbkFJWTyPgWvUbeiIgUEPTOuTRwPT6g3wQecs6tMrNbzWxOsNo/A+XAw2a2wswWB9vuBL6NryyWArcGy46cogpKg+vC2xtbD7KyiEj4FTSpmXNuCbBkn2Xfynv8kQNsex9w36EWsMsS5ZSlfdfNhto9nHZi36P21iIix6JwfTMW9uqjf2f7nh4ujIhIzwtl0EeSexjar0RBLyJCSIOe1npGDSxjQ21jT5dGRKTHhS/oE+WQbGT0wFI2bN+jaRBE5LgXvqAvqoBsmlP6x2hoSbNjT7KnSyQi0qPCGfTAycFgG/XTi8jxLrRBP6rCd9mon15EjnfhC/rgvrEnFCVJRCNsUIteRI5z4Qv6oEUfTe1hxIBS3qlV0IvI8S2EQe9b9LQ2MGpgmfroReS4F8Kg7+N/JxsZVVXGX3Y06QYkInJcC1/QJ3It+npGDywjmcmyeVdzz5ZJRKQHhS/o27puGhld5R9v2K6RNyJy/Apf0Ae3E8z10YOfxVJE5HgVvqAPbidIspEBZQkqimO6ICsix7XwBT20TWxmZoweWKauGxE5roU06Muh1Yf76UP7suLd3STTuq2giByfQhr0FdDaAMDscYPYk8ywdOORvYOhiMixKpxBH/TRA5x1ygASsQhPr9l2kI1ERMIpnEFfVNHWdVOaiHHm6AE8o6AXkeNUiIO+oe3peeOq2LB9Dxs1+kZEjkPhDfpkXtCPPwGAZ9aqVS8ix59wBn2i3Lfog9sInjSglNFVZeqnF5HjUjiDPridIOnWtkXnjRvEyxt2sqc13YMFExE5+sIb9ACt9W2Lzhs/iGQmy5/Wbe+hQomI9IxwBn2/Ef537dq2RdUj+9OvNM4jy2t6qFAiIj0jnEE/fLr/vemltkWJWIS/PnMEf3xzK+t1H1kROY6EM+hLKqHqVHj35b0WX3HWSOLRCPe+sKGHCiYicvSFM+gBTpoJm/4M2fY5bgaWF3HpGcP4zSubqW1oPcDGIiLhUVDQm9n5ZrbWzNaZ2Tc6eP1DZvaKmaXN7NJ9XsuY2YrgZ3F3Ffyghp8JrXVQ++Zei686ZzSpTJZ/f3HjUSuKiEhPOmjQm1kUuBu4AJgAzDezCfus9i6wAHigg100O+emBD9zDrO8hTtpZlCyl/ZaPGpgGR+bMJj/+N+NNLSkjlpxRER6SiEt+hnAOufcBudcElgIzM1fwTm30Tm3Ejh25gKuHAVlg2DTy/u99P9mn0xDa5rvPr6mBwomInJ0FRL0Q4FNec9rgmWFKjazZWb2kpl9sqMVzOzqYJ1ltbW1Xdj1AZj5Vv0+LXqAScP6cdU5o3ng5Xd5/q1uej8RkWPU0bgYO8I5Vw38H+BOMzt53xWcc/c456qdc9VVVVXd987Dz4Tdf4GG9/d76St/NZZTBpVz029WUtesLhwRCa9Cgn4zMDzv+bBgWUGcc5uD3xuAZ4GpXSjf4TnpTP+7g1Z9cTzKv1w2mW0Nrdz8X2/ggnlxRETCppCgXwqMMbNRZpYA5gEFjZ4xs0ozKwoeDwTOBlYfamG7bPAkiBV3GPQAk4f344bzxrBoxRbufPLto1YsEZGjKXawFZxzaTO7HngCiAL3OedWmdmtwDLn3GIzmw78DqgEPmFm/+ScOw04FfipmWXxlcrtzrmjF/SxBAythg3P+JkszfZb5YYPn0LNriZ+9NTbDChP8LkPjDxqxRMRORoOGvQAzrklwJJ9ln0r7/FSfJfOvtu9CEw8zDIensnzYPH1PuxPPm+/l82M7148kd3NKW5evIqSeJTLqod3sCMRkd4pvN+MzZn0aSg/AV78105XiUUj/Ov8qZx98kC+9shKbntsNenMsTNSVETkcIQ/6GNFMPMaWP80vP9Gp6sVx6P84vPTueIDI/jZC+/w+fuXapoEEQmF8Ac9QPWVEC87YKseIB6N8E9zT+d7l0zk5Q07+cgPnuPhZZs0IkdEerXjI+hLKmHa5+CNR6Du4CNDPzP9JJZ8+RzGDCrna4+s5LM/f1lTG4tIr3V8BD3Amdf5kTePfQUyB7+d4CmDynnomg/w7bmnsXJTHeff+Ty3P75GtyIUkV7n+An6yhFwwffgrd/Doze03Tj8QCIR468/MJKnvzqLOZOH8m/PreeD33uaHz35Nrubkkeh0CIih8+Otf7n6upqt2zZsiP3Bs98F567Hc76Enz0O13a9NV3d3H3M+t48s1tlCaiXDxtKJ89cwTjB/c5QoUVESmMmS0PppvZ/7XjLuidgyVfg6U/g4vuhOrPd3kXa99v4J7nN/Doyi0k01mmndSPuVOGcsHEwQyqKD4ChRYROTAF/b6yGXjg0/DO8/D5x2FYh3+bg9q1J8kjy2t4ePkm3traSMSgekR/zh1Xxbljq5gwpA+RyP7fxhUR6W4K+o407YR7ZkEmBdc8B+WDDmt3b21t4L9f28JTa7axaks9AAPKEnxwzEA+eMpAzjplIEP7lXRDwUVE9qeg78z7r8O9fwXxYojEIdUM4y+EC/8FisoPebfbGlp44a3t/M+67bzwdi3bG/2F25P6lzJ9ZH8mDevL6UP7MmFIH0oS0e46GhE5jinoD2TdU/DaQkiU+tb9aw/CgDHwmV9C1bjD3n0263hrWwP/u34HL67fwavv7moL/ojB6KpyJgzpw9gTyjllUAVjTyhnxIAyouryEZEuUNB3xYZn4ZEv+Nb9pffBuPO7dffOOd6vb2FlTR2rttSzeksdq7fUs6WupW2dkniUsYMrGDOonJOryhldVcbwylKG9iuhT0kM62AWThE5vinou6p+Czw433ftfOJO/63aI6yxNc36bY2s3drAmvcaePO9etbVNu43306f4hijqso5uaqMk/qXcmLfEgb3LWZoZQlD+5VQHFdXkMjxSEF/KFob4aHPwfqnYNbfw7lf73A++yOtviXFO7V72Ly7mc27mnl3ZxMbtjeyftse3q9v2W/9AWUJBvctZkjfYgb1KWZQRRGDKorpVxqnT3GcfqVxhvYroV9pXGcGIiGioD9UmRQs/pLvt594Gcz5V4gfYORMOvi2bCxxVIqXTGfZWt/Clt3NbKnzFcHm3c28X9fCe3UtbGtoZeeejr/BW5aIckLfYvqWxOlbEmdAWRGD+hQxsLyobVmf4hh9gsf9SuOUJgq6fYGI9IADBb3+5x5INA6f/AkMOAWe/jbsWO+fV43bv3W/Zgk89rd+tM5nfwP9TjrixUvEIgzvX8rw/qWdrpPKZNnRmKSuOUV9S4odjUk2726mZlcT2+pbqWtOsb2xlbfeb6C2sZVUpvOKvzgeobI0QWkiSkkiSmk8RnlxjD7FMSrLElQFZw8VxTHKi2KUJqL+d1GM8kSM0qIo8ejxM+uGyLFCLfpCrXkMfns1JBuhrAqGz4R+I6BsILy3Alb/Fwya4GfHTJTBX/8WBp3a06XukmzWUd+Sor45TV1zirrmFA0t/veuphS7mpLs3JOkOZWhJZlhTzJNQ4v/2bknSWMBE74lohFfSQQ/5cX+zKG8KEZJ3Fcg5cUx+pbEqSiOUxSLkIhGSMQiFMcjFMeilBXFqCiOUVEcp6woSnEsqi+myXFPXTfdpa4G1j0Jf/lfqFkKDe9Dag9Ei2DWTXDWDVC7Fv7zEkg3w8xrYfgMGDYdivv2dOmPuKZkmtqGVhpa0uxpTbMnmWZPayZ4nKEp+N2cTNOUzNCUzNDQmqahJUVjS5rmVIbmZIaGljTJLt7hqzjuK4SieJRENEI0YsSiRkVxnMrSeFBx+MqhNB4lHosQj0ZIRC2oRKKUJnyFk4gZqYwjnXGUJCL0LUnQpyRGUTRKLGpEI0bEjIhBNGK61iHHBAX9kZTc4+fPyf+C1a6NvvVfsxRc1n8Z69RP+BugjPxgj1zU7W1aUhnqm1MkM1lSGUdrOkNLKktz0lccDa0pGlraK4yWVIZkOktrOhOEtN+uPjgj2d2UojGoVA7UPdVV0YhRmohSloi1ffchGjFK4lFKi6KUxKMUx6MUxyNB5WDEIkaf4LpHSTxKrjTxaMSfwcQibWcy+d+nyL1eFM/t169rQaWTiEYoK4pRFCyT44v66I+kRNn+yypHwhf+AC31sHk5vP0HWPEArPotlA6AylG+D7+kH8RKoKgCTjoTRpzlb30oQTgemaGiuUogmc7SmslVEFn2tKZpbE2TyjjiESMWjdCcyrC7KRlUOr4CSWd9NGeyvgLa05qhKZkmdxKSyWZpSmbazlDqW1I0JzM4B1nn2iqghpYjc2+DaMTaKoxENDhziQVnObmzkQgY7WclsaASKUuhr40AAA1LSURBVC+KUVYUIx5tP1NJprMk01kcUNx29uO70EoT/rpL7iwnV7/kypCrmPzjKPHgjCgaMQy/vuHbPmbWVt541NrOznJ1nZnpi4SHSC36oyXVDKsWwbsvwq6/wO53obUB0i3+rADnQ3/oGb4S6DvUnyk07/SvD5kMoz4Eg06DSCcXNJ2DTFKVRS+RzvgKJheOuTOX1lSWZMaHaybb/v8znXW0pnwF0pLKtp3FOBxZ5wPZd5el2/bRmsqSyvqKLZP1+8tk/frO+d+ZrCOVydKSzvrutdY06WAdcG3XSMyMlpQ/e2pKZmhNd617rTtEI0ZxUGllso501uHwlUXEjJJEtO1aTyzovot2cnbjK74IsaD7Lp5XqeQYfh9FMX8GlauEYtEIsaDCipoRDd4n15UXNX8/C/84qPSCs7pchZ91zv+XzbrgzDVLZWmCT0w+8ZD+NmrRHwviJTBlvv/ZV2sjbPwfP2Z/ywp45zloeM+/VlLprwGs/LV/niiHvsOh7zB/Ubiowg/n3LYGtrwCLXW+Qjj1E3DyedD3pM4rhqOhpQ5WPuTLetone64cx6BYNEJsv1FI8R4py6FIZfyZiw/cLNm83E9nfSXWkvIVQmvKd6v5SqU95By5377iSWV8pZM7i2hNZ9ruEZR1kMz4ijCddW1BiwFBeDan2rvy0hkXVFj7N2bbz678++xpTe9XceXKl864tmNJZrLBfrNtFWZ3mjy83yEH/YEo6I8FReV+qoX86RYyabBIe0jX1cA7L8CWV6F+M9Rt8hd+W+sh1eSHgI69wHcHrV0C/32j3y5WAgNP8V1G8VKIxHz4Nu/y3U7DZ/puo9KBgAOL+rOJ8hParyVkUrD9bXjvNdixDk6cCqNnHXjit62r4OWfwusP+/IBpH4CU/5PN//xpKfEoxH6lhzfw2WzWUfGubwzJUc2Cxnn9jpjSqaztKQzZJ3zXVzQdm0lGmk/ozhS3ZXqugkj53zQbl4GtW/B9rd8hZBsgmzKjwAqqYSmHf4MIpvafx+xYiju57uXUnv2fz2a8N8naKn3Uz6XDfRnEkMmwerF/qwkVgITL4VpV8Azt/lll/5i75Z90054f6UflppJ+p+WemjZ7SuIQRP8yKX+J/surJY6X+G88xxsfQMmfhpmXOW/89Ddf8Ntq6F8MJQN6N59d0U2C3Xv+s9xyCSoGNxzZQkL5/z/h5CNhNOoG+lcqtmHfbIRMB/6dTV+5FBrPRT18d1DlSNhyBT/u2YpvP2EP6MoqYSS/rD7L7DxT9BaB32Gwoyr/RxBpf39+yT3wC8v9henT5zqQ7xpR3sX1b7iZRANzj46UtzXX8t4/3UYOBam/19/trHlVcimof9o371VvwW2roam7TC02o96GjjWnylZ1Adn5Uh/XaN5lw/U9U/D6w/Bzg2+wps834+Ysgg0bm0vk5k/Q4om/HqVI3y3mkX8NZjNy/0xWsSvd+JUGDxx7zOlTMrPnJovm/FlWH4/bHgOkg1+eVFff9/jyfPa9+Gc30e6xZ+hRY6BuY5SzYD56b+PFuf8v+GiigOv11IHv73GD5P+xI9g6uVHp3xHgYJejo5sxodj5ciOW9gtdfDYV2HPNh/kxX38l8oGT/IhGSvxgZso99cdnPOBWbPUd1UVVfiKZ+AYv41F4K0n4Im/8+8bL4MTp/h97NwAuzdBxRA4YYKvjDa9DLve6aDg5iuOlt3tz0edA6d9yleCry2ETGsH23UgVuwDt2lHx69XDIETp/mKdPtbvmKNlfgzolix/7s17YTG93132oQ5/kJ8v5PguX/2F/NHz/LrblvtK2UX9C1HYr6i6Tfc/y0iUb+/aML/zqT82VJrgw/h4r7+tYb3fYVo5ivBqnH+GLIZv9+iPv6zcg4atvh1G7fCnh3+b1Yx2I8ki8Sg5s++8s1mfJkHnOLPRE6c5h+nmvy/g0jUX7cpqfR/i/dW+s8mVuw/59IB/t9Rv5N8Bbz9bX+sJf2CmwQZ7Hgbtq+D7Wv96631/qzyrC/7Cv0vf/KBbhH/vGwQ/O5q/36DTvXlPOdvYfY3/bG3NoDL+AZANLF3RdW0079HUblvRMRL/DE2boXm3e1/Y/ANDef8v+F4qf9b5qZOaayFN/8L3vqDf8+S/v6Mse9w/9N/NAwaX9i/tX0o6CXc0kmor/HfVM5v0Tq3/3cW6mp8NxFBS7jhPV8pNG71wVI13gdrfhdJYy289Xv/n7x8sA+b3P5dxnc3JZt8UG1/y//HHzLZ36KyzzAfxKkmHzxv/8F3q/U/2YdNcV9fKTTt8K3ybNqHxqlzYNzH9543KZuBl34C//NDfw1l0Km+zPFif8G+eZc/s9q9KdhXxlckmaT/G0Vj/v0SFf711npItUDFCdDnRL9+7Vp/HO4AI2qK+wZdWlW+Aqjf4sMz3epHjQ2f4Y9hRxDC2970x3UwiXK/j466EjtTMcRX/APH+bKseMB/ppGYf89YcXDWE1TUZVXw6f/wX2J87Cvwyn/4CrW13v+d8sVK/BlputWfEbYxXzE37yrsuMAHfukA/7dyGf/5J0qhaRfsqW0v34nT4OpnCj/+/FIp6EWkYOmkD7Bcpdna2H62UzFk/66mnI4qVvCVydZVvgLJnR1kMz7gmnb4luzgib5yNfPB2ri1fRhyST9/ptF3uA/kxq1++wEn799Vk07CG4/A+2/A6HNh5Dm+Rb95me/CG3+hH2yQK+/yX8CmpVBe5QM/EvNBnG71Qd68y29fNc6XobXBz3lVX+MrjT5D/VlJNhOEtfm/m0X8PtItfpumHbBnu3/v0y/x157yu9/21PoK2mV8RXkIDjvozex84EdAFLjXOXf7Pq9/CLgTmATMc849kvfaFcA3g6ffcc79+4HeS0EvItJ1Bwr6g46NMrMocDdwATABmG9mE/ZZ7V1gAfDAPtv2B24GZgIzgJvNrLKrByAiIoeukEGwM4B1zrkNzrkksBCYm7+Cc26jc24lsG/H3seAPzrndjrndgF/BLr33nwiInJAhQT9UGBT3vOaYFkhDmdbERHpBsfE19rM7GozW2Zmy2pra3u6OCIioVJI0G8Ghuc9HxYsK0RB2zrn7nHOVTvnqquqqgrctYiIFKKQoF8KjDGzUWaWAOYBiwvc/xPAR82sMrgI+9FgmYiIHCUHDXrnXBq4Hh/QbwIPOedWmdmtZjYHwMymm1kNcBnwUzNbFWy7E/g2vrJYCtwaLBMRkaNEX5gSEQmBXvXNWDOrBf5yGLsYCGw/6Fq9TxiPK4zHBDqu3iYsxzXCOdfhRc5jLugPl5kt66xW683CeFxhPCbQcfU2YT2ufMfE8EoRETlyFPQiIiEXxqC/p6cLcISE8bjCeEyg4+ptwnpcbULXRy8iInsLY4teRETyKOhFREIuNEFvZueb2VozW2dm3+jp8hwqMxtuZs+Y2WozW2VmXw6W9zezP5rZ28HvXjmvv5lFzexVM/vv4PkoM3s5+Nx+HUyz0auYWT8ze8TM1pjZm2b2gTB8XmZ2Y/Bv8A0ze9DMinvj52Vm95nZNjN7I29Zh5+PeXcFx7fSzKb1XMm7TyiCvsCbo/QWaeBvnXMTgDOBLwbH8g3gKefcGOCp4Hlv9GX8VBo53wN+6Jw7BdgFfKFHSnV4fgT83jk3HpiMP75e/XmZ2VDgBqDaOXc6/u5y8+idn9f97H8fjM4+nwuAMcHP1cBPjlIZj6hQBD0F3Bylt3DOveeceyV43IAPjaH448ndhvHfgU/2TAkPnZkNAy4E7g2eG3AekLv1ZK87LjPrC3wI+DmAcy7pnNtNCD4vIAaUmFkMKAXeoxd+Xs6554F959jq7POZC/yH814C+pnZkKNT0iMnLEEfyhucmNlIYCrwMnCCc+694KX3gRN6qFiH407g67TfiWwAsDuYOA965+c2CqgFfhF0Sd1rZmX08s/LObcZuAN/m9D3gDpgOb3/88rp7PMJZZaEJehDx8zKgd8Af+Ocq89/zfkxsb1qXKyZXQRsc84t7+mydLMYMA34iXNuKrCHfbppeunnVYlv3Y4CTgTKCOltQHvj59NVYQn6w7k5yjHHzOL4kP+Vc+63weKtuVPI4Pe2nirfITobmGNmG/Fda+fh+7b7BV0D0Ds/txqgxjn3cvD8EXzw9/bP6yPAO865WudcCvgt/jPs7Z9XTmefT6iyJCcsQX84N0c5pgT91j8H3nTO/SDvpcXAFcHjK4D/OtplOxzOub9zzg1zzo3Efz5PO+cuB54BLg1W643H9T6wyczGBYs+DKyml39e+C6bM82sNPg3mTuuXv155ens81kMfC4YfXMmUJfXxdN7OedC8QN8HHgLWA/8Q0+X5zCO44P408iVwIrg5+P4/uyngLeBJ4H+PV3WwzjGWcB/B49HA38G1gEPA0U9Xb5DOJ4pwLLgM1sEVIbh8wL+CVgDvAH8EijqjZ8X8CD+OkMKfwb2hc4+H8DwI/jWA6/jRx31+DEc7o+mQBARCbmwdN2IiEgnFPQiIiGnoBcRCTkFvYhIyCnoRURCTkEvIhJyCnoRkZD7/ywC9ZYRRyFVAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(model.history.history['loss'], label = 'Training Loss')\n",
    "plt.plot(model.history.history['val_loss'], label = 'Validation Loss')\n",
    "plt.legend(loc='upper right')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "HpHKwjoDtvcr"
   },
   "source": [
    "## Plotting of the output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 281
    },
    "id": "vJAPT0smfjjN",
    "outputId": "ebd22fca-88d6-4b02-9373-0d91def28891"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def convert_sequences_into_image(seqs):\n",
    "    image = np.zeros((28, 28))\n",
    "    i = 0\n",
    "    for x in range(0,22, 7):\n",
    "        for y in range(0, 22, 7):\n",
    "            image[x:x+7, y:y+7] = seqs[i,:].reshape((7, 7))\n",
    "            # print(x:x+7, y:y+7)\n",
    "            i += 1\n",
    "            # print(i)\n",
    "    return image\n",
    "\n",
    "test_img = df_test[0][:8]\n",
    "\n",
    "temp_img = test_img.copy()\n",
    "for _ in range(8):\n",
    "    pred = model.predict(tf.expand_dims(temp_img, 0))\n",
    "    temp_img = np.concatenate((temp_img, pred[:,-1,:])) \n",
    "plt.imshow(convert_sequences_into_image(temp_img), cmap='gray')\n",
    "plt.title(\"Digit: %d\" % (test_labels[0]))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "MvetIGDG8xfz",
    "outputId": "328e713b-dbcb-44d5-8736-dc202cddfe23"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Printing the Real digits\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 100 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "Printing the predicted digits\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 720x720 with 100 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_images(mod, data, labels):\n",
    "    indexes = np.zeros((10,10))\n",
    "    for i in range(10):\n",
    "        indexes[i, :] = np.where(labels == i)[0][:10]\n",
    "    \n",
    "    print(\"\\nPrinting the Real digits\")\n",
    "    plt.figure(figsize=(10, 10))\n",
    "    for i in range(10):\n",
    "        for j in range(10):\n",
    "            ax=plt.subplot2grid((10, 10), (i, j))\n",
    "            ax.imshow(data[int(indexes[i][j])], cmap='gray')\n",
    "            plt.axis('off')\n",
    "    plt.show()\n",
    "    print(\"\\n\\n\\nPrinting the predicted digits\")\n",
    "\n",
    "    plt.figure(figsize=(10, 10))\n",
    "    for i in range(10):\n",
    "        for j in range(10):\n",
    "            ax=plt.subplot2grid((10, 10), (i, j))\n",
    "\n",
    "            x,_,_ = convert_image_into_sequences(data[int(indexes[i][j])])\n",
    "            temp_img = x[:8].copy()\n",
    "            for _ in range(8):\n",
    "                pred = model.predict(tf.expand_dims(temp_img, 0))\n",
    "                temp_img = np.concatenate((temp_img, pred[:,-1,:])) \n",
    "            # try:\n",
    "            ax.imshow(convert_sequences_into_image(temp_img), cmap='gray')#.reshape((28,28)))\n",
    "            # except:\n",
    "            #     pass\n",
    "            plt.axis('off')\n",
    "    plt.show()\n",
    "\n",
    "plot_images(model, train_imgs, train_labels)"
   ]
  }
 ],
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