AND_Gate.ipynb

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      "authorship_tag": "ABX9TyOYNTTfMbEGXOf4eHT7RdxL",
      "include_colab_link": true
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    "kernelspec": {
      "name": "python3",
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    "language_info": {
      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/sumedhakoranga/Logic_Gates_Neural_Networks/blob/main/AND_Gate.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Initialization"
      ],
      "metadata": {
        "id": "zFOPwtx--d9N"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "V6QuX-FUZG0v"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "import random"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Generating synthetic data"
      ],
      "metadata": {
        "id": "WPyFKXAw-jR_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "p0 = [[0, 0,0] for _ in range(random.randint(100, 150))]\n",
        "p1 = [[0,1,1] for _ in range(random.randint(100, 150))]\n",
        "p2 = [[1,0,1] for _ in range(random.randint(100, 150))]\n",
        "p3 = [[1,1,1] for _ in range(random.randint(100, 150))]\n",
        "X = np.array(p0+p1+p2+p3)\n",
        "np.random.shuffle(X)\n",
        "y = X[:, 1]\n",
        "X = X[:, :2]"
      ],
      "metadata": {
        "id": "NsDLAVl14V41"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X"
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        "id": "cO_pkxcD4auM",
        "outputId": "a886347d-144a-4b43-bc5a-8948386cc256"
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      "execution_count": 4,
      "outputs": [
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          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fX0Fe3vK4c34",
        "outputId": "d191d5ea-1b3f-4ea5-b9ca-5a1f302fa755"
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      "execution_count": 5,
      "outputs": [
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          },
          "metadata": {},
          "execution_count": 5
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Training the model"
      ],
      "metadata": {
        "id": "sg9DZs_x-ogd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "model = keras.Sequential([\n",
        "    keras.Input(shape=(2)),\n",
        "    keras.layers.Dense(1,activation=\"sigmoid\")]\n",
        ")"
      ],
      "metadata": {
        "id": "TM262YKd4dWD"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model.summary()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w4Dq9vKF4h9F",
        "outputId": "7c338982-ccff-4690-806d-8200e6c4f6a5"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " dense (Dense)               (None, 1)                 3         \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 3\n",
            "Trainable params: 3\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model.compile(loss='binary_crossentropy',optimizer='adam',metrics='accuracy')"
      ],
      "metadata": {
        "id": "QiM1PXui4k51"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model.fit(X,y,epochs=1000,batch_size=32)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nnUInLAX4nld",
        "outputId": "444e4bbb-1f71-4cee-c8de-abbe82c26518"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/1000\n",
            "15/15 [==============================] - 1s 2ms/step - loss: 1.0689 - accuracy: 0.2574\n",
            "Epoch 2/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 1.0580 - accuracy: 0.2363\n",
            "Epoch 3/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 1.0477 - accuracy: 0.2363\n",
            "Epoch 4/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 1.0371 - accuracy: 0.2363\n",
            "Epoch 5/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 1.0271 - accuracy: 0.2363\n",
            "Epoch 6/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 1.0178 - accuracy: 0.2363\n",
            "Epoch 7/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 1.0083 - accuracy: 0.2363\n",
            "Epoch 8/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.9989 - accuracy: 0.2363\n",
            "Epoch 9/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.9902 - accuracy: 0.2363\n",
            "Epoch 10/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.9812 - accuracy: 0.2363\n",
            "Epoch 11/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.9731 - accuracy: 0.2363\n",
            "Epoch 12/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.9647 - accuracy: 0.2363\n",
            "Epoch 13/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.9567 - accuracy: 0.2363\n",
            "Epoch 14/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.9488 - accuracy: 0.2363\n",
            "Epoch 15/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.9412 - accuracy: 0.2363\n",
            "Epoch 16/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.9345 - accuracy: 0.2363\n",
            "Epoch 17/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.9266 - accuracy: 0.1245\n",
            "Epoch 18/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.9199 - accuracy: 0.0000e+00\n",
            "Epoch 19/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.9134 - accuracy: 0.0000e+00\n",
            "Epoch 20/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.9066 - accuracy: 0.0000e+00\n",
            "Epoch 21/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.9004 - accuracy: 0.0000e+00\n",
            "Epoch 22/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8942 - accuracy: 0.0000e+00\n",
            "Epoch 23/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8883 - accuracy: 0.0000e+00\n",
            "Epoch 24/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8826 - accuracy: 0.0000e+00\n",
            "Epoch 25/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8770 - accuracy: 0.0000e+00\n",
            "Epoch 26/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.8714 - accuracy: 0.0000e+00\n",
            "Epoch 27/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.8663 - accuracy: 0.0000e+00\n",
            "Epoch 28/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8610 - accuracy: 0.0000e+00\n",
            "Epoch 29/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8560 - accuracy: 0.0000e+00\n",
            "Epoch 30/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8513 - accuracy: 0.0000e+00\n",
            "Epoch 31/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8464 - accuracy: 0.0000e+00\n",
            "Epoch 32/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8417 - accuracy: 0.0000e+00\n",
            "Epoch 33/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8373 - accuracy: 0.0000e+00\n",
            "Epoch 34/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8327 - accuracy: 0.0000e+00\n",
            "Epoch 35/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8285 - accuracy: 0.0000e+00\n",
            "Epoch 36/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8242 - accuracy: 0.0000e+00\n",
            "Epoch 37/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.8202 - accuracy: 0.0000e+00\n",
            "Epoch 38/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8161 - accuracy: 0.0000e+00\n",
            "Epoch 39/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8122 - accuracy: 0.0000e+00\n",
            "Epoch 40/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8082 - accuracy: 0.0000e+00\n",
            "Epoch 41/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.8046 - accuracy: 0.0000e+00\n",
            "Epoch 42/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.8008 - accuracy: 0.0000e+00\n",
            "Epoch 43/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7971 - accuracy: 0.0000e+00\n",
            "Epoch 44/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7935 - accuracy: 0.0000e+00\n",
            "Epoch 45/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7899 - accuracy: 0.0000e+00\n",
            "Epoch 46/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7864 - accuracy: 0.0000e+00\n",
            "Epoch 47/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.7829 - accuracy: 0.0000e+00\n",
            "Epoch 48/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7796 - accuracy: 0.1350\n",
            "Epoch 49/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.7762 - accuracy: 0.4198\n",
            "Epoch 50/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.7729 - accuracy: 0.5464\n",
            "Epoch 51/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7696 - accuracy: 0.5464\n",
            "Epoch 52/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7663 - accuracy: 0.5464\n",
            "Epoch 53/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7631 - accuracy: 0.5464\n",
            "Epoch 54/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.7599 - accuracy: 0.5464\n",
            "Epoch 55/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7567 - accuracy: 0.5464\n",
            "Epoch 56/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.7536 - accuracy: 0.5464\n",
            "Epoch 57/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7505 - accuracy: 0.5464\n",
            "Epoch 58/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7474 - accuracy: 0.5464\n",
            "Epoch 59/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7443 - accuracy: 0.5464\n",
            "Epoch 60/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7412 - accuracy: 0.5464\n",
            "Epoch 61/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7382 - accuracy: 0.5464\n",
            "Epoch 62/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7351 - accuracy: 0.5464\n",
            "Epoch 63/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7322 - accuracy: 0.5464\n",
            "Epoch 64/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7292 - accuracy: 0.5464\n",
            "Epoch 65/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7262 - accuracy: 0.5464\n",
            "Epoch 66/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7233 - accuracy: 0.5464\n",
            "Epoch 67/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7204 - accuracy: 0.5464\n",
            "Epoch 68/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7174 - accuracy: 0.5464\n",
            "Epoch 69/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7145 - accuracy: 0.5464\n",
            "Epoch 70/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7115 - accuracy: 0.5464\n",
            "Epoch 71/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7086 - accuracy: 0.5464\n",
            "Epoch 72/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7058 - accuracy: 0.5464\n",
            "Epoch 73/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7029 - accuracy: 0.5464\n",
            "Epoch 74/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.7000 - accuracy: 0.5464\n",
            "Epoch 75/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6971 - accuracy: 0.5464\n",
            "Epoch 76/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6943 - accuracy: 0.5464\n",
            "Epoch 77/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.6915 - accuracy: 0.5464\n",
            "Epoch 78/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6886 - accuracy: 0.5464\n",
            "Epoch 79/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.6858 - accuracy: 0.5464\n",
            "Epoch 80/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6829 - accuracy: 0.5464\n",
            "Epoch 81/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6801 - accuracy: 0.5464\n",
            "Epoch 82/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6773 - accuracy: 0.5464\n",
            "Epoch 83/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6745 - accuracy: 0.5464\n",
            "Epoch 84/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6717 - accuracy: 0.5464\n",
            "Epoch 85/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6689 - accuracy: 0.5464\n",
            "Epoch 86/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6661 - accuracy: 0.5464\n",
            "Epoch 87/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.6634 - accuracy: 0.5464\n",
            "Epoch 88/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.6606 - accuracy: 0.5464\n",
            "Epoch 89/1000\n",
            "15/15 [==============================] - 0s 3ms/step - loss: 0.6579 - accuracy: 0.5464\n",
            "Epoch 90/1000\n",
            "15/15 [==============================] - 0s 3ms/step - loss: 0.6551 - accuracy: 0.5464\n",
            "Epoch 91/1000\n",
            "15/15 [==============================] - 0s 5ms/step - loss: 0.6523 - accuracy: 0.5464\n",
            "Epoch 92/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6496 - accuracy: 0.5464\n",
            "Epoch 93/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6469 - accuracy: 0.5464\n",
            "Epoch 94/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6441 - accuracy: 0.5464\n",
            "Epoch 95/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6415 - accuracy: 0.5464\n",
            "Epoch 96/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.6387 - accuracy: 0.5464\n",
            "Epoch 97/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6360 - accuracy: 0.5464\n",
            "Epoch 98/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6333 - accuracy: 0.5464\n",
            "Epoch 99/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6306 - accuracy: 0.5464\n",
            "Epoch 100/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6279 - accuracy: 0.5464\n",
            "Epoch 101/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6253 - accuracy: 0.5464\n",
            "Epoch 102/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6226 - accuracy: 0.5464\n",
            "Epoch 103/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6199 - accuracy: 0.5464\n",
            "Epoch 104/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6172 - accuracy: 0.5464\n",
            "Epoch 105/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6146 - accuracy: 0.5464\n",
            "Epoch 106/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6120 - accuracy: 0.5464\n",
            "Epoch 107/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6093 - accuracy: 0.5464\n",
            "Epoch 108/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.6067 - accuracy: 0.5464\n",
            "Epoch 109/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.6041 - accuracy: 0.5464\n",
            "Epoch 110/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.6015 - accuracy: 0.5464\n",
            "Epoch 111/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5989 - accuracy: 0.5464\n",
            "Epoch 112/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5963 - accuracy: 0.5464\n",
            "Epoch 113/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5937 - accuracy: 0.5464\n",
            "Epoch 114/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5911 - accuracy: 0.5464\n",
            "Epoch 115/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5885 - accuracy: 0.5464\n",
            "Epoch 116/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5860 - accuracy: 0.5464\n",
            "Epoch 117/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.5834 - accuracy: 0.5464\n",
            "Epoch 118/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.5809 - accuracy: 0.5464\n",
            "Epoch 119/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5783 - accuracy: 0.5464\n",
            "Epoch 120/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.5758 - accuracy: 0.5464\n",
            "Epoch 121/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5733 - accuracy: 0.5464\n",
            "Epoch 122/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.5708 - accuracy: 0.5464\n",
            "Epoch 123/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.5683 - accuracy: 0.5464\n",
            "Epoch 124/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5657 - accuracy: 0.5464\n",
            "Epoch 125/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5633 - accuracy: 0.7827\n",
            "Epoch 126/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.5608 - accuracy: 0.7827\n",
            "Epoch 127/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5583 - accuracy: 0.7827\n",
            "Epoch 128/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5559 - accuracy: 0.7827\n",
            "Epoch 129/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5534 - accuracy: 0.7827\n",
            "Epoch 130/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5509 - accuracy: 0.7827\n",
            "Epoch 131/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5485 - accuracy: 0.7827\n",
            "Epoch 132/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5461 - accuracy: 0.7827\n",
            "Epoch 133/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5437 - accuracy: 0.7827\n",
            "Epoch 134/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5412 - accuracy: 0.7827\n",
            "Epoch 135/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5388 - accuracy: 0.7827\n",
            "Epoch 136/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.5364 - accuracy: 0.7827\n",
            "Epoch 137/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5340 - accuracy: 0.7827\n",
            "Epoch 138/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5317 - accuracy: 0.7827\n",
            "Epoch 139/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5293 - accuracy: 0.7827\n",
            "Epoch 140/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5269 - accuracy: 0.9916\n",
            "Epoch 141/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5246 - accuracy: 1.0000\n",
            "Epoch 142/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5222 - accuracy: 1.0000\n",
            "Epoch 143/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.5199 - accuracy: 1.0000\n",
            "Epoch 144/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.5175 - accuracy: 1.0000\n",
            "Epoch 145/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5152 - accuracy: 1.0000\n",
            "Epoch 146/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5129 - accuracy: 1.0000\n",
            "Epoch 147/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5106 - accuracy: 1.0000\n",
            "Epoch 148/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5083 - accuracy: 1.0000\n",
            "Epoch 149/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5060 - accuracy: 1.0000\n",
            "Epoch 150/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5037 - accuracy: 1.0000\n",
            "Epoch 151/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.5014 - accuracy: 1.0000\n",
            "Epoch 152/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.4992 - accuracy: 1.0000\n",
            "Epoch 153/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.4969 - accuracy: 1.0000\n",
            "Epoch 154/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.4947 - accuracy: 1.0000\n",
            "Epoch 155/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.4924 - accuracy: 1.0000\n",
            "Epoch 156/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.4902 - accuracy: 1.0000\n",
            "Epoch 157/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.4880 - accuracy: 1.0000\n",
            "Epoch 158/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.4858 - accuracy: 1.0000\n",
            "Epoch 159/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.4836 - accuracy: 1.0000\n",
            "Epoch 160/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.4814 - accuracy: 1.0000\n",
            "Epoch 161/1000\n",
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            "Epoch 162/1000\n",
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            "15/15 [==============================] - 0s 2ms/step - loss: 0.0165 - accuracy: 1.0000\n",
            "Epoch 880/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0164 - accuracy: 1.0000\n",
            "Epoch 881/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0164 - accuracy: 1.0000\n",
            "Epoch 882/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.0163 - accuracy: 1.0000\n",
            "Epoch 883/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0162 - accuracy: 1.0000\n",
            "Epoch 884/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0161 - accuracy: 1.0000\n",
            "Epoch 885/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0161 - accuracy: 1.0000\n",
            "Epoch 886/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0160 - accuracy: 1.0000\n",
            "Epoch 887/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0159 - accuracy: 1.0000\n",
            "Epoch 888/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0158 - accuracy: 1.0000\n",
            "Epoch 889/1000\n",
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            "Epoch 890/1000\n",
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            "Epoch 891/1000\n",
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            "Epoch 892/1000\n",
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            "Epoch 893/1000\n",
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            "Epoch 894/1000\n",
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            "Epoch 895/1000\n",
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            "Epoch 896/1000\n",
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            "Epoch 897/1000\n",
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            "Epoch 898/1000\n",
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            "Epoch 899/1000\n",
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            "Epoch 900/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0150 - accuracy: 1.0000\n",
            "Epoch 901/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0149 - accuracy: 1.0000\n",
            "Epoch 902/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0148 - accuracy: 1.0000\n",
            "Epoch 903/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.0148 - accuracy: 1.0000\n",
            "Epoch 904/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.0147 - accuracy: 1.0000\n",
            "Epoch 905/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0146 - accuracy: 1.0000\n",
            "Epoch 906/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0146 - accuracy: 1.0000\n",
            "Epoch 907/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0145 - accuracy: 1.0000\n",
            "Epoch 908/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0144 - accuracy: 1.0000\n",
            "Epoch 909/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0144 - accuracy: 1.0000\n",
            "Epoch 910/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0143 - accuracy: 1.0000\n",
            "Epoch 911/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0142 - accuracy: 1.0000\n",
            "Epoch 912/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0142 - accuracy: 1.0000\n",
            "Epoch 913/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0141 - accuracy: 1.0000\n",
            "Epoch 914/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0140 - accuracy: 1.0000\n",
            "Epoch 915/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0140 - accuracy: 1.0000\n",
            "Epoch 916/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0139 - accuracy: 1.0000\n",
            "Epoch 917/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0139 - accuracy: 1.0000\n",
            "Epoch 918/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0138 - accuracy: 1.0000\n",
            "Epoch 919/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.0137 - accuracy: 1.0000\n",
            "Epoch 920/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0137 - accuracy: 1.0000\n",
            "Epoch 921/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.0136 - accuracy: 1.0000\n",
            "Epoch 922/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.0135 - accuracy: 1.0000\n",
            "Epoch 923/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0135 - accuracy: 1.0000\n",
            "Epoch 924/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0134 - accuracy: 1.0000\n",
            "Epoch 925/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0133 - accuracy: 1.0000\n",
            "Epoch 926/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0133 - accuracy: 1.0000\n",
            "Epoch 927/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0132 - accuracy: 1.0000\n",
            "Epoch 928/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0132 - accuracy: 1.0000\n",
            "Epoch 929/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0131 - accuracy: 1.0000\n",
            "Epoch 930/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0130 - accuracy: 1.0000\n",
            "Epoch 931/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0130 - accuracy: 1.0000\n",
            "Epoch 932/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.0129 - accuracy: 1.0000\n",
            "Epoch 933/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0129 - accuracy: 1.0000\n",
            "Epoch 934/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0128 - accuracy: 1.0000\n",
            "Epoch 935/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0127 - accuracy: 1.0000\n",
            "Epoch 936/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0127 - accuracy: 1.0000\n",
            "Epoch 937/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0126 - accuracy: 1.0000\n",
            "Epoch 938/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0126 - accuracy: 1.0000\n",
            "Epoch 939/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0125 - accuracy: 1.0000\n",
            "Epoch 940/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0124 - accuracy: 1.0000\n",
            "Epoch 941/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0124 - accuracy: 1.0000\n",
            "Epoch 942/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0123 - accuracy: 1.0000\n",
            "Epoch 943/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0123 - accuracy: 1.0000\n",
            "Epoch 944/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0122 - accuracy: 1.0000\n",
            "Epoch 945/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0122 - accuracy: 1.0000\n",
            "Epoch 946/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0121 - accuracy: 1.0000\n",
            "Epoch 947/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0121 - accuracy: 1.0000\n",
            "Epoch 948/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0120 - accuracy: 1.0000\n",
            "Epoch 949/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0119 - accuracy: 1.0000\n",
            "Epoch 950/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0119 - accuracy: 1.0000\n",
            "Epoch 951/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0118 - accuracy: 1.0000\n",
            "Epoch 952/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0118 - accuracy: 1.0000\n",
            "Epoch 953/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0117 - accuracy: 1.0000\n",
            "Epoch 954/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0117 - accuracy: 1.0000\n",
            "Epoch 955/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0116 - accuracy: 1.0000\n",
            "Epoch 956/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.0116 - accuracy: 1.0000\n",
            "Epoch 957/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0115 - accuracy: 1.0000\n",
            "Epoch 958/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0115 - accuracy: 1.0000\n",
            "Epoch 959/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.0114 - accuracy: 1.0000\n",
            "Epoch 960/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.0113 - accuracy: 1.0000\n",
            "Epoch 961/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0113 - accuracy: 1.0000\n",
            "Epoch 962/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0112 - accuracy: 1.0000\n",
            "Epoch 963/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.0112 - accuracy: 1.0000\n",
            "Epoch 964/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.0111 - accuracy: 1.0000\n",
            "Epoch 965/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0111 - accuracy: 1.0000\n",
            "Epoch 966/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0110 - accuracy: 1.0000\n",
            "Epoch 967/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.0110 - accuracy: 1.0000\n",
            "Epoch 968/1000\n",
            "15/15 [==============================] - 0s 1ms/step - loss: 0.0109 - accuracy: 1.0000\n",
            "Epoch 969/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0109 - accuracy: 1.0000\n",
            "Epoch 970/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0108 - accuracy: 1.0000\n",
            "Epoch 971/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0108 - accuracy: 1.0000\n",
            "Epoch 972/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0107 - accuracy: 1.0000\n",
            "Epoch 973/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0107 - accuracy: 1.0000\n",
            "Epoch 974/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0106 - accuracy: 1.0000\n",
            "Epoch 975/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0106 - accuracy: 1.0000\n",
            "Epoch 976/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0105 - accuracy: 1.0000\n",
            "Epoch 977/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0105 - accuracy: 1.0000\n",
            "Epoch 978/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0104 - accuracy: 1.0000\n",
            "Epoch 979/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0104 - accuracy: 1.0000\n",
            "Epoch 980/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0103 - accuracy: 1.0000\n",
            "Epoch 981/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0103 - accuracy: 1.0000\n",
            "Epoch 982/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0102 - accuracy: 1.0000\n",
            "Epoch 983/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0102 - accuracy: 1.0000\n",
            "Epoch 984/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0102 - accuracy: 1.0000\n",
            "Epoch 985/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0101 - accuracy: 1.0000\n",
            "Epoch 986/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0101 - accuracy: 1.0000\n",
            "Epoch 987/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0100 - accuracy: 1.0000\n",
            "Epoch 988/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0100 - accuracy: 1.0000\n",
            "Epoch 989/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0099 - accuracy: 1.0000\n",
            "Epoch 990/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0099 - accuracy: 1.0000\n",
            "Epoch 991/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0098 - accuracy: 1.0000\n",
            "Epoch 992/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0098 - accuracy: 1.0000\n",
            "Epoch 993/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0097 - accuracy: 1.0000\n",
            "Epoch 994/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0097 - accuracy: 1.0000\n",
            "Epoch 995/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0096 - accuracy: 1.0000\n",
            "Epoch 996/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0096 - accuracy: 1.0000\n",
            "Epoch 997/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0096 - accuracy: 1.0000\n",
            "Epoch 998/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0095 - accuracy: 1.0000\n",
            "Epoch 999/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0095 - accuracy: 1.0000\n",
            "Epoch 1000/1000\n",
            "15/15 [==============================] - 0s 2ms/step - loss: 0.0094 - accuracy: 1.0000\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.callbacks.History at 0x7f096b230c70>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model.get_weights()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lwsthYoGBnrF",
        "outputId": "a3e7b216-b434-4555-d524-4cecb35dfe8c"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[array([[-0.14662236],\n",
              "        [ 9.335224  ]], dtype=float32),\n",
              " array([-4.394254], dtype=float32)]"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model.get_weight_paths()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3XBbJErkBrZ9",
        "outputId": "e7bfdc83-d08b-47f2-ea7d-90a652199d8b"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'dense.kernel': <tf.Variable 'dense/kernel:0' shape=(2, 1) dtype=float32, numpy=\n",
              " array([[-0.14662236],\n",
              "        [ 9.335224  ]], dtype=float32)>,\n",
              " 'dense.bias': <tf.Variable 'dense/bias:0' shape=(1,) dtype=float32, numpy=array([-4.394254], dtype=float32)>}"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    }
  ]
}