Xray.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyParArRJXDHJnRbY7yyu47w",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/jaswanthBavi/batch1/blob/main/Xray.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "KCalrQ2CFQuJ",
        "outputId": "d15d3466-8d66-4cda-89f3-09588393211e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 3s/step - loss: 0.6975\n",
            "Epoch 2/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 122ms/step - loss: 0.6901\n",
            "Epoch 3/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 164ms/step - loss: 0.6882\n",
            "Epoch 4/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 104ms/step - loss: 0.6881\n",
            "Epoch 5/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 144ms/step - loss: 0.6877\n",
            "Epoch 6/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 126ms/step - loss: 0.6867\n",
            "Epoch 7/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 174ms/step - loss: 0.6860\n",
            "Epoch 8/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 108ms/step - loss: 0.6853\n",
            "Epoch 9/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 149ms/step - loss: 0.6839\n",
            "Epoch 10/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 107ms/step - loss: 0.6823\n",
            "Epoch 11/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 99ms/step - loss: 0.6807\n",
            "Epoch 12/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 91ms/step - loss: 0.6786\n",
            "Epoch 13/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 103ms/step - loss: 0.6765\n",
            "Epoch 14/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 110ms/step - loss: 0.6737\n",
            "Epoch 15/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 213ms/step - loss: 0.6709\n",
            "Epoch 16/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 162ms/step - loss: 0.6682\n",
            "Epoch 17/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 137ms/step - loss: 0.6648\n",
            "Epoch 18/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 146ms/step - loss: 0.6616\n",
            "Epoch 19/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 297ms/step - loss: 0.6585\n",
            "Epoch 20/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 303ms/step - loss: 0.6578\n",
            "Epoch 21/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 298ms/step - loss: 0.6673\n",
            "Epoch 22/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 308ms/step - loss: 0.6587\n",
            "Epoch 23/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 151ms/step - loss: 0.6581\n",
            "Epoch 24/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 156ms/step - loss: 0.6554\n",
            "Epoch 25/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 127ms/step - loss: 0.6559\n",
            "Epoch 26/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 91ms/step - loss: 0.6520\n",
            "Epoch 27/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 93ms/step - loss: 0.6553\n",
            "Epoch 28/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 92ms/step - loss: 0.6494\n",
            "Epoch 29/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 140ms/step - loss: 0.6538\n",
            "Epoch 30/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 142ms/step - loss: 0.6487\n",
            "Epoch 31/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 137ms/step - loss: 0.6511\n",
            "Epoch 32/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 143ms/step - loss: 0.6494\n",
            "Epoch 33/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 152ms/step - loss: 0.6479\n",
            "Epoch 34/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 89ms/step - loss: 0.6496\n",
            "Epoch 35/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 91ms/step - loss: 0.6466\n",
            "Epoch 36/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 139ms/step - loss: 0.6482\n",
            "Epoch 37/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 93ms/step - loss: 0.6469\n",
            "Epoch 38/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 138ms/step - loss: 0.6462\n",
            "Epoch 39/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 139ms/step - loss: 0.6471\n",
            "Epoch 40/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 103ms/step - loss: 0.6453\n",
            "Epoch 41/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 137ms/step - loss: 0.6464\n",
            "Epoch 42/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 137ms/step - loss: 0.6453\n",
            "Epoch 43/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 138ms/step - loss: 0.6452\n",
            "Epoch 44/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 92ms/step - loss: 0.6455\n",
            "Epoch 45/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 94ms/step - loss: 0.6445\n",
            "Epoch 46/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 140ms/step - loss: 0.6451\n",
            "Epoch 47/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 141ms/step - loss: 0.6444\n",
            "Epoch 48/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 139ms/step - loss: 0.6444\n",
            "Epoch 49/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 151ms/step - loss: 0.6444\n",
            "Epoch 50/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 91ms/step - loss: 0.6438\n",
            "Epoch 51/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 150ms/step - loss: 0.6442\n",
            "Epoch 52/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 134ms/step - loss: 0.6435\n",
            "Epoch 53/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 138ms/step - loss: 0.6438\n",
            "Epoch 54/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 97ms/step - loss: 0.6434\n",
            "Epoch 55/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 98ms/step - loss: 0.6434\n",
            "Epoch 56/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 136ms/step - loss: 0.6432\n",
            "Epoch 57/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 96ms/step - loss: 0.6431\n",
            "Epoch 58/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 137ms/step - loss: 0.6431\n",
            "Epoch 59/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 139ms/step - loss: 0.6429\n",
            "Epoch 60/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 90ms/step - loss: 0.6429\n",
            "Epoch 61/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 141ms/step - loss: 0.6427\n",
            "Epoch 62/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 140ms/step - loss: 0.6428\n",
            "Epoch 63/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 159ms/step - loss: 0.6425\n",
            "Epoch 64/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 95ms/step - loss: 0.6426\n",
            "Epoch 65/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 90ms/step - loss: 0.6424\n",
            "Epoch 66/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 104ms/step - loss: 0.6425\n",
            "Epoch 67/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 130ms/step - loss: 0.6423\n",
            "Epoch 68/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 90ms/step - loss: 0.6423\n",
            "Epoch 69/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 95ms/step - loss: 0.6422\n",
            "Epoch 70/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 139ms/step - loss: 0.6422\n",
            "Epoch 71/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 108ms/step - loss: 0.6421\n",
            "Epoch 72/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 137ms/step - loss: 0.6420\n",
            "Epoch 73/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 93ms/step - loss: 0.6420\n",
            "Epoch 74/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 92ms/step - loss: 0.6419\n",
            "Epoch 75/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 104ms/step - loss: 0.6419\n",
            "Epoch 76/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 98ms/step - loss: 0.6418\n",
            "Epoch 77/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 91ms/step - loss: 0.6418\n",
            "Epoch 78/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 93ms/step - loss: 0.6417\n",
            "Epoch 79/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 93ms/step - loss: 0.6417\n",
            "Epoch 80/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 141ms/step - loss: 0.6416\n",
            "Epoch 81/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 97ms/step - loss: 0.6416\n",
            "Epoch 82/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 133ms/step - loss: 0.6415\n",
            "Epoch 83/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 94ms/step - loss: 0.6415\n",
            "Epoch 84/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 92ms/step - loss: 0.6415\n",
            "Epoch 85/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 106ms/step - loss: 0.6414\n",
            "Epoch 86/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 92ms/step - loss: 0.6414\n",
            "Epoch 87/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 144ms/step - loss: 0.6414\n",
            "Epoch 88/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 137ms/step - loss: 0.6413\n",
            "Epoch 89/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 141ms/step - loss: 0.6413\n",
            "Epoch 90/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 143ms/step - loss: 0.6413\n",
            "Epoch 91/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 93ms/step - loss: 0.6412\n",
            "Epoch 92/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 91ms/step - loss: 0.6412\n",
            "Epoch 93/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 157ms/step - loss: 0.6412\n",
            "Epoch 94/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 93ms/step - loss: 0.6411\n",
            "Epoch 95/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 93ms/step - loss: 0.6411\n",
            "Epoch 96/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 94ms/step - loss: 0.6411\n",
            "Epoch 97/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 144ms/step - loss: 0.6411\n",
            "Epoch 98/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 156ms/step - loss: 0.6410\n",
            "Epoch 99/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 120ms/step - loss: 0.6410\n",
            "Epoch 100/100\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 95ms/step - loss: 0.6410\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 220ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "import tensorflow as tf\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import cv2\n",
        "from tensorflow.keras.models import Model\n",
        "from tensorflow.keras.layers import Input, Conv2D, MaxPooling2D, UpSampling2D\n",
        "image = cv2.imread(\"xray.jpg\", cv2.IMREAD_GRAYSCALE)\n",
        "image = cv2.resize(image, (128, 128)).astype('float32') / 255.0\n",
        "image = np.expand_dims(image, axis=(0, -1))\n",
        "input_img = Input(shape=(128, 128, 1))\n",
        "x = Conv2D(32, (3, 3), activation='relu', padding='same')(input_img)\n",
        "x = MaxPooling2D((2, 2), padding='same')(x)\n",
        "x = Conv2D(64, (3, 3), activation='relu', padding='same')(x)\n",
        "encoded = MaxPooling2D((2, 2), padding='same')(x)\n",
        "x = Conv2D(64, (3, 3), activation='relu', padding='same')(encoded)\n",
        "x = UpSampling2D((2, 2))(x)\n",
        "x = Conv2D(32, (3, 3), activation='relu', padding='same')(x)\n",
        "x = UpSampling2D((2, 2))(x)\n",
        "decoded = Conv2D(1, (3, 3), activation='sigmoid', padding='same')(x)\n",
        "autoencoder = Model(input_img, decoded)\n",
        "autoencoder.compile(optimizer='adam', loss='binary_crossentropy')\n",
        "autoencoder.fit(image, image, epochs=100, batch_size=1, verbose=1)\n",
        "reconstructed = autoencoder.predict(image)\n",
        "fig, axes = plt.subplots(1, 2, figsize=(8, 4))\n",
        "axes[0].imshow(image[0, :, :, 0], cmap='gray'), axes[0].set_title(\"Original\")\n",
        "axes[1].imshow(reconstructed[0, :, :, 0], cmap='gray'), axes[1].set_title(\"Reconstructed\")\n",
        "plt.show()\n"
      ]
    }
  ]
}