Lab7_P2.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "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/BitByBitAIGroup/Lab-Assignment-7/blob/main/Lab7_P2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**For the sample code hopfield.m supplied in the lab-work folder, find out the amount of error (in bits) tolerable for each of the stored patterns.\n",
        "Part B**\n"
      ],
      "metadata": {
        "id": "zG8BYxi6fpML"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "from skimage import data, io, filters\n",
        "from matplotlib import pyplot as plt\n",
        "from PIL import Image\n",
        "from skimage.transform import resize\n",
        "import random\n",
        "%matplotlib inline"
      ],
      "metadata": {
        "id": "2pBPZ-kOgFn_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "D = np.array([-1, -1, -1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, -1, -1, 1]).reshape(5,5)\n",
        "J = np.array([-1, -1, -1, -1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, -1, -1, 1, 1]).reshape(5,5)\n",
        "C = np.array([1, -1, -1, -1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, -1]).reshape(5,5)\n",
        "M = np.array([-1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, 1, 1, -1]).reshape(5,5)\n",
        "\n",
        "X = np.array([D, J, C, M])\n",
        "\n",
        "letters = ['D', 'J', 'C', 'M']\n",
        "\n",
        "fig = plt.figure(figsize=(6, 6))\n",
        "\n",
        "for idx, letter in enumerate(X):\n",
        "    plt.subplot(2, 2, idx+1)\n",
        "    plt.title(letters[idx])\n",
        "    plt.axis('off')\n",
        "    plt.imshow(letter, cmap='gray')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 373
        },
        "id": "fsMGBRYFfqHy",
        "outputId": "f44fa06a-fef0-43f4-abe0-0ed0fb978e06"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x432 with 4 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "n = X.shape[0]\n",
        "m = X.shape[1] * X.shape[2]\n",
        "\n",
        "W = np.zeros((m,m));\n",
        "\n",
        "for i in range(n):\n",
        "\tW += X[i, :].reshape(-1, 1) @  X[i, :].reshape(1, -1)\n",
        "\n",
        "\n",
        "np.fill_diagonal(W, 0)\n",
        "\n",
        "W /= n"
      ],
      "metadata": {
        "id": "T3aKsWAvf3ZV"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def add_error(num_errors=1):\n",
        "    chosen_letter = random.choice(X)\n",
        "    letter_with_err = chosen_letter.copy()\n",
        "    errors = []\n",
        "    while num_errors:\n",
        "        i = np.random.randint(5)\n",
        "        j = np.random.randint(5)\n",
        "\n",
        "        if (i, j) not in errors:\n",
        "            errors.append((i, j))\n",
        "            letter_with_err[i, j] = -letter_with_err[i, j]\n",
        "            num_errors -= 1\n",
        "\n",
        "    return chosen_letter, letter_with_err\n",
        "    "
      ],
      "metadata": {
        "id": "eK1waGxqf8sB"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=(9, 45))\n",
        "\n",
        "for i in range(1, 15 + 1):\n",
        "    chosen_letter, letter_with_err = add_error(i)\n",
        "\n",
        "    y = letter_with_err.reshape(-1)\n",
        "\n",
        "    last_erry = i\n",
        "    erry = 26\n",
        "    while erry != last_erry:\n",
        "        last_erry = erry\n",
        "        yp = np.sign(W @ y)\n",
        "        erry = np.linalg.norm(yp - y)\n",
        "        y = yp\n",
        "    \n",
        "    plt.subplot(15, 3, 3*(i-1)+1)\n",
        "    plt.title('Without error(s)')\n",
        "    plt.axis('off')\n",
        "    plt.imshow(chosen_letter, cmap='gray')\n",
        "    plt.subplot(15, 3, 3*(i-1)+2)\n",
        "    plt.title(f'With {i} error(s)')\n",
        "    plt.axis('off')\n",
        "    plt.imshow(letter_with_err, cmap='gray')\n",
        "    plt.subplot(15, 3, 3*(i-1)+3)\n",
        "    plt.title('Error corrected')\n",
        "    plt.axis('off')\n",
        "    plt.imshow(y.reshape(5,5), cmap='gray')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "QynE5hCTgBzp",
        "outputId": "40e1a340-dc72-4159-b2d0-636ff8451df2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 648x3240 with 45 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}