NLP_RNN_LSTM.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "background_save": true
    },
    "id": "vBZg9LKMZUXK",
    "outputId": "acd3741d-4d19-42c1-bd3c-50b80cc47a83"
   },
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import keras\n",
    "keras.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kBm95rNCZUXR"
   },
   "source": [
    "# Understanding recurrent neural networks\n",
    "\n",
    "A recurrent neural network (RNN) processes sequences by iterating through the sequence elements and maintaining a state containing information relative to what it has seen so far. In general case, an RNN will take as an input $n$ elements of a sequence and process it in $n$ steps. At each step, it will \"memorise\" it's inner state a and pass it to the next \"pass\" of a neural network. In a diagram, we often depict it as an \"unfolded\" sequence of $t$ steps, each of which will have and input $x^i$, output $\\hat{y^i}$, incoming hidden state $a^{t-1}$ from a previous element and outgoing hidden state $a^t$ that will be used in the next element."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "U-207JlAZ9UM"
   },
   "source": [
    "![simple_rnn.png](data:image/png;base64,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)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xB0v5-EKaFBH"
   },
   "source": [
    "On the last time step our RNN inputs $x^{T_x}$ and then it outputs $\\hat{y}^{T_y}$. In this example, a number of steps $T_x$ is equal to $T_y$, but the architecture will change a bit if $T_x$ and $T_y$ are not identical. So at each time step, the recurrent neural network that passes on as activation to the next time step for it to use. And to start the processing of the first unit, we'll also have some made-up activation at time zero, this is usually the vector of zeros. Some researchers will initialized $a^0$ randomly. You have other ways to initialize $a^0$ but really having a vector of zeros as the fake times zero activation is the most common choice. So that gets input to the neural network.\n",
    "\n",
    "The recurrent neural network scans through the data from left to right. The parameters it uses for each time step are shared. In order to train such neural network, we will also need a set  of parameters. The parameters governing the connection from $x_1$ to the hidden layer, will be some set of parameters we're going to write as $\\omega_{ax}$ and this is the same parameters that are used for every time step. The activations (the horizontal connections) will have some set of parameters $\\omega_{aa}$ and the same parameters $\\omega_{aa}$ will be used on every timestep and similarly the sum $\\omega_{ya}$ that governs the output predictions."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LTyft5KlaLg0"
   },
   "source": [
    "![rnn_weights.png](data:image/png;base64,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   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zySi8t-taQ11"
   },
   "source": [
    "In this recurrent neural network, what this means is that when making the prediction for $y^n$, it gets the information not only from $x^n$ but also the information from $x^{n-1}$ and $x^{n+1}$ because the information on $x^{n-1}$ can help to predict $y^n$. One limitation of this particular neural network structure is that the prediction at a certain time uses inputs or uses information from the inputs earlier in the sequence but not information later in the sequence.\n",
    "\n",
    "Now, let's define the steps of the neural network more formally. First, we initialise the activation $a^0$ with a vector of zeros:\n",
    "\n",
    "\\begin{equation}\n",
    "    a_0 = \\overrightarrow{0}\n",
    "\\end{equation}\n",
    "\n",
    "On step one, we calculate activation $a_1$ and output $\\hat{y_1}$ of the RNN:\n",
    "\n",
    "\\begin{equation}\n",
    "    a_1 = g(\\omega_{aa} a_0 + \\omega_{ax}x^1 + b_a ),\n",
    "\\end{equation}\n",
    "where the model output is computed as\n",
    "\\begin{equation}\n",
    "    \\hat{y}^1 = h(\\omega_{ya}a^1 + b_y),\n",
    "\\end{equation}\n",
    "\n",
    "where $g$ and $h$ are activation functions, such as hyperbolic tangent, rectified linear unit (ReLu) or sigmoid.\n",
    "\n",
    "Step $t$, therefore,  can be described as following:\n",
    "\\begin{equation}\n",
    "    a^t = g(\\omega_{aa} a_{t-1} + \\omega_{ax}x^t + b_a ),\n",
    "\\end{equation}\n",
    "and\n",
    "\\begin{equation}\n",
    "    \\hat{y}^t = h(\\omega_{ya}a^t + b_y).\n",
    "\\end{equation}\n",
    "\n",
    "Sometimes, visualisation of this process is slightly easier to understand. Next image depicts the calculations, made in a single cell, in details."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vBoh5vkBaiwU"
   },
   "source": [
    "![rnn_cell.png](data:image/png;base64,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)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "abD4aEXoaqOp"
   },
   "source": [
    "In the next step, we will implement this one cell processing using the [Keras](https://keras.io/) framework:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Ngd2gHjNZ63O"
   },
   "source": [
    "## A first recurrent layer in Keras\n",
    "\n",
    "The `SimpleRNN` layer:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "background_save": true
    },
    "id": "GSuGncCjZUXT"
   },
   "outputs": [],
   "source": [
    "from keras.layers import SimpleRNN"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vuIIz_qVZUXU"
   },
   "source": [
    "`SimpleRNN` processes batches of sequences. This means that it takes inputs of shape `(batch_size, timesteps, input_features)`, rather than `(timesteps, \n",
    "input_features)`.\n",
    "\n",
    "Like all recurrent layers in Keras, `SimpleRNN` can be run in two different modes: it can return either the full sequences of successive \n",
    "outputs for each timestep (a 3D tensor of shape `(batch_size, timesteps, output_features)`), or it can return only the last output for each \n",
    "input sequence (a 2D tensor of shape `(batch_size, output_features)`). These two modes are controlled by the `return_sequences` constructor \n",
    "argument. Let's take a look at an example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "background_save": true
    },
    "id": "6YhpcqmmZUXU",
    "outputId": "6078c483-1305-4e22-df71-cebbc11880b3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_1\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding_1 (Embedding)      (None, None, 32)          320000    \n",
      "_________________________________________________________________\n",
      "simple_rnn_1 (SimpleRNN)     (None, None, 32)          2080      \n",
      "=================================================================\n",
      "Total params: 322,080\n",
      "Trainable params: 322,080\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-06-19 21:29:41.876305: I tensorflow/core/platform/cpu_feature_guard.cc:145] This TensorFlow binary is optimized with Intel(R) MKL-DNN to use the following CPU instructions in performance critical operations:  SSE4.1 SSE4.2 AVX AVX2 FMA\n",
      "To enable them in non-MKL-DNN operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2022-06-19 21:29:41.876558: I tensorflow/core/common_runtime/process_util.cc:115] Creating new thread pool with default inter op setting: 8. Tune using inter_op_parallelism_threads for best performance.\n"
     ]
    }
   ],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Embedding, SimpleRNN\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Embedding(10000, 32))\n",
    "model.add(SimpleRNN(32, return_sequences=True))\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "BV0qSlTIZUXU"
   },
   "source": [
    "It is sometimes useful to stack several recurrent layers one after the other in order to increase the representational power of a network. \n",
    "In such a setup, you have to get all intermediate layers to return full sequences:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading the IMDB sentiment classification dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "background_save": true
    },
    "id": "SW5HxV0vZUXV",
    "outputId": "6e2729b0-84de-4708-8ba1-b3db468cddf3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading data...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nataliaefremova/anaconda3/envs/tf/lib/python3.7/site-packages/keras/datasets/imdb.py:101: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n",
      "  x_train, y_train = np.array(xs[:idx]), np.array(labels[:idx])\n",
      "/Users/nataliaefremova/anaconda3/envs/tf/lib/python3.7/site-packages/keras/datasets/imdb.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n",
      "  x_test, y_test = np.array(xs[idx:]), np.array(labels[idx:])\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25000 train sequences\n",
      "25000 test sequences\n",
      "Pad sequences (samples x time)\n",
      "input_train shape: (25000, 500)\n",
      "input_test shape: (25000, 500)\n"
     ]
    }
   ],
   "source": [
    "from keras.datasets import imdb\n",
    "from keras.preprocessing import sequence\n",
    "\n",
    "max_features = 10000  # number of words to consider as features\n",
    "maxlen = 500  # cut texts after this number of words (among top max_features most common words)\n",
    "batch_size = 32\n",
    "\n",
    "print('Loading data...')\n",
    "(input_train, y_train), (input_test, y_test) = imdb.load_data(num_words=max_features)\n",
    "print(len(input_train), 'train sequences')\n",
    "print(len(input_test), 'test sequences')\n",
    "\n",
    "print('Pad sequences (samples x time)')\n",
    "input_train = sequence.pad_sequences(input_train, maxlen=maxlen)\n",
    "input_test = sequence.pad_sequences(input_test, maxlen=maxlen)\n",
    "print('input_train shape:', input_train.shape)\n",
    "print('input_test shape:', input_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "e_AbBajuZUXW"
   },
   "source": [
    "Now let's try to use such a model on the IMDB movie review classification problem. First, let's preprocess the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "         16, 5345,   19,  178,   32], dtype=int32)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "input_train[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Building a simple RNN model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1xN2jdNbbdnk"
   },
   "source": [
    "Training of RNNs is also performed with a backpropagation algorithm, slightly modified for this purpose.\n",
    "\n",
    "For training, you need to specify optimisation method (optimizer) and loss function (loss)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ttGNFhkjZUXW"
   },
   "source": [
    "Let's train a simple recurrent network using an `Embedding` layer and a `SimpleRNN` layer:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(25000,)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "print(np.shape(y_train))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "background_save": true,
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 194802,
     "status": "ok",
     "timestamp": 1614468149873,
     "user": {
      "displayName": "N. E.",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14Giu1R9ux2DYhWOwxiNijmyUYXnfk9yJqUCLNyq_vA=s64",
      "userId": "01997527614154494135"
     },
     "user_tz": 0
    },
    "id": "mMEHmXhaZUXW"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nataliaefremova/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow_core/python/framework/indexed_slices.py:424: UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory.\n",
      "  \"Converting sparse IndexedSlices to a dense Tensor of unknown shape. \"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 20000 samples, validate on 5000 samples\n",
      "Epoch 1/10\n",
      "20000/20000 [==============================] - 83s 4ms/step - loss: 0.6357 - acc: 0.6327 - val_loss: 0.9274 - val_acc: 0.5110\n",
      "Epoch 2/10\n",
      "20000/20000 [==============================] - 87s 4ms/step - loss: 0.4620 - acc: 0.7881 - val_loss: 0.4404 - val_acc: 0.8026\n",
      "Epoch 3/10\n",
      "20000/20000 [==============================] - 86s 4ms/step - loss: 0.2932 - acc: 0.8837 - val_loss: 0.3812 - val_acc: 0.8418\n",
      "Epoch 4/10\n",
      "20000/20000 [==============================] - 91s 5ms/step - loss: 0.2124 - acc: 0.9196 - val_loss: 0.5138 - val_acc: 0.8244\n",
      "Epoch 5/10\n",
      "20000/20000 [==============================] - 224s 11ms/step - loss: 0.1487 - acc: 0.9478 - val_loss: 0.4381 - val_acc: 0.8006\n",
      "Epoch 6/10\n",
      "20000/20000 [==============================] - 300s 15ms/step - loss: 0.0933 - acc: 0.9692 - val_loss: 0.4351 - val_acc: 0.8220\n",
      "Epoch 7/10\n",
      "20000/20000 [==============================] - 290s 14ms/step - loss: 0.0528 - acc: 0.9841 - val_loss: 0.7625 - val_acc: 0.8032\n",
      "Epoch 8/10\n",
      "20000/20000 [==============================] - 296s 15ms/step - loss: 0.0330 - acc: 0.9902 - val_loss: 0.5227 - val_acc: 0.8320\n",
      "Epoch 9/10\n",
      "20000/20000 [==============================] - 296s 15ms/step - loss: 0.0201 - acc: 0.9947 - val_loss: 0.5835 - val_acc: 0.8240\n",
      "Epoch 10/10\n",
      "20000/20000 [==============================] - 283s 14ms/step - loss: 0.0134 - acc: 0.9962 - val_loss: 0.6262 - val_acc: 0.8286\n"
     ]
    }
   ],
   "source": [
    "from keras.layers import Dense\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Embedding(max_features, 32))\n",
    "model.add(SimpleRNN(32))\n",
    "model.add(Dense(1, activation='sigmoid'))\n",
    "\n",
    "model.compile(optimizer='rmsprop', loss='binary_crossentropy', metrics=['acc'])\n",
    "history = model.fit(input_train, y_train,\n",
    "                    epochs=10,\n",
    "                    batch_size=128,\n",
    "                    validation_split=0.2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "d9PG7ZAhZUXW"
   },
   "source": [
    "Let's display the training and validation loss and accuracy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "background_save": true,
     "base_uri": "https://localhost:8080/",
     "height": 545
    },
    "executionInfo": {
     "elapsed": 410,
     "status": "ok",
     "timestamp": 1614468150278,
     "user": {
      "displayName": "N. E.",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14Giu1R9ux2DYhWOwxiNijmyUYXnfk9yJqUCLNyq_vA=s64",
      "userId": "01997527614154494135"
     },
     "user_tz": 0
    },
    "id": "gU4335boZUXW"
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "acc = history.history['acc']\n",
    "val_acc = history.history['val_acc']\n",
    "loss = history.history['loss']\n",
    "val_loss = history.history['val_loss']\n",
    "\n",
    "epochs = range(len(acc))\n",
    "\n",
    "plt.plot(epochs, acc, 'bo', label='Training acc')\n",
    "plt.plot(epochs, val_acc, 'b', label='Validation acc')\n",
    "plt.title('Training and validation accuracy')\n",
    "plt.legend()\n",
    "\n",
    "plt.figure()\n",
    "\n",
    "plt.plot(epochs, loss, 'bo', label='Training loss')\n",
    "plt.plot(epochs, val_loss, 'b', label='Validation loss')\n",
    "plt.title('Training and validation loss')\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "OU9C0m18ZUXX"
   },
   "source": [
    "Unfortunately, our small \n",
    "recurrent network doesn't perform very well at all. Part of the problem is \n",
    "that our inputs only consider the first 500 words rather the full sequences -- \n",
    "hence our RNN has access to very little information. \n",
    "\n",
    "The remainder of the problem is simply that `SimpleRNN` isn't very good at processing long sequences, like text. Other types of recurrent layers perform much better. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is sometimes useful to stack several recurrent layers one after the other in order to increase the representational power of a network. \n",
    "In such a setup, you have to get all intermediate layers to return full sequences:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Let's create a slightly more complex RNN!\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "model.add(Embedding(10000, 32))\n",
    "model.add(SimpleRNN(32, return_sequences=True))\n",
    "model.add(SimpleRNN(32, return_sequences=True))\n",
    "model.add(SimpleRNN(32, return_sequences=True))\n",
    "model.add(SimpleRNN(32))  # This last layer only returns the last outputs.\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(optimizer='rmsprop', loss='binary_crossentropy', metrics=['acc'])\n",
    "history = model.fit(input_train, y_train,\n",
    "                    epochs=10,\n",
    "                    batch_size=128,\n",
    "                    validation_split=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "acc = history.history['acc']\n",
    "val_acc = history.history['val_acc']\n",
    "loss = history.history['loss']\n",
    "val_loss = history.history['val_loss']\n",
    "\n",
    "epochs = range(len(acc))\n",
    "\n",
    "plt.plot(epochs, acc, 'bo', label='Training acc')\n",
    "plt.plot(epochs, val_acc, 'b', label='Validation acc')\n",
    "plt.title('Training and validation accuracy')\n",
    "plt.legend()\n",
    "\n",
    "plt.figure()\n",
    "\n",
    "plt.plot(epochs, loss, 'bo', label='Training loss')\n",
    "plt.plot(epochs, val_loss, 'b', label='Validation loss')\n",
    "plt.title('Training and validation loss')\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "v6Zj2mSEZUXX"
   },
   "source": [
    "## LSTM (Long-Short Term Memory network)\n",
    "\n",
    "We will use slightly more advanced model, which is called Long-Short Term Memory network.\n",
    "\n",
    "On the figure below, you can see that an LSTM cell has more complex srtucture: it has another \"parallel processing srteam\" of information. We will not go much into the details of computations here, but just illustrate it's performance with an example."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LjmFK95rkZOp"
   },
   "source": [
    "![Screenshot 2021-02-27 at 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)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "YVwN1BQjch-_"
   },
   "source": [
    "This model uses an LSTM layer instead of RNN. We will train it also on the IMDB data. \n",
    "\n",
    "Here's the network, \n",
    "similar to the one with `SimpleRNN` that we just presented. We only specify the output dimensionality of the LSTM layer, and leave every \n",
    "other argument (there are lots) to the Keras defaults. Keras has good defaults, and things will almost always \"just work\" without you \n",
    "having to spend time tuning parameters by hand."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "WM3Y7deBZUXX",
    "outputId": "3c229867-fc18-44a9-e761-b4f4b7c66950"
   },
   "outputs": [],
   "source": [
    "from keras.layers import LSTM\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Embedding(max_features, 32))\n",
    "model.add(LSTM(32))\n",
    "model.add(Dense(1, activation='sigmoid'))\n",
    "\n",
    "model.compile(optimizer='rmsprop',\n",
    "              loss='binary_crossentropy',\n",
    "              metrics=['acc'])\n",
    "history = model.fit(input_train, y_train,\n",
    "                    epochs=10,\n",
    "                    batch_size=128,\n",
    "                    validation_split=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "G4R8TPeeZUXY"
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt \n",
    "\n",
    "acc = history.history['acc']\n",
    "val_acc = history.history['val_acc']\n",
    "loss = history.history['loss']\n",
    "val_loss = history.history['val_loss']\n",
    "\n",
    "epochs = range(len(acc))\n",
    "\n",
    "plt.plot(epochs, acc, 'bo', label='Training acc')\n",
    "plt.plot(epochs, val_acc, 'b', label='Validation acc')\n",
    "plt.title('Training and validation accuracy')\n",
    "plt.legend()\n",
    "\n",
    "plt.figure()\n",
    "\n",
    "plt.plot(epochs, loss, 'bo', label='Training loss')\n",
    "plt.plot(epochs, val_loss, 'b', label='Validation loss')\n",
    "plt.title('Training and validation loss')\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "omEA41HrZUXY"
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt \n",
    "\n",
    "acc = history.history['acc']\n",
    "val_acc = history.history['val_acc']\n",
    "loss = history.history['loss']\n",
    "val_loss = history.history['val_loss']\n",
    "\n",
    "epochs = range(len(acc))\n",
    "\n",
    "plt.plot(epochs, acc, 'bo', label='Training acc')\n",
    "plt.plot(epochs, val_acc, 'b', label='Validation acc')\n",
    "plt.title('Training and validation accuracy')\n",
    "plt.legend()\n",
    "\n",
    "plt.figure()\n",
    "\n",
    "plt.plot(epochs, loss, 'bo', label='Training loss')\n",
    "plt.plot(epochs, val_loss, 'b', label='Validation loss')\n",
    "plt.title('Training and validation loss')\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "name": "NLP_practical_RNN.ipynb",
   "version": ""
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}