CS4287_Prj1_24293059_id2_id3.ipynb (673725B)
1 { 2 "nbformat": 4, 3 "nbformat_minor": 0, 4 "metadata": { 5 "colab": { 6 "provenance": [], 7 "gpuType": "A100", 8 "machine_shape": "hm", 9 "include_colab_link": true 10 }, 11 "kernelspec": { 12 "name": "python3", 13 "display_name": "Python 3" 14 }, 15 "language_info": { 16 "name": "python" 17 }, 18 "accelerator": "GPU" 19 }, 20 "cells": [ 21 { 22 "cell_type": "markdown", 23 "metadata": { 24 "id": "view-in-github", 25 "colab_type": "text" 26 }, 27 "source": [ 28 "<a href=\"https://colab.research.google.com/github/LindholmLabs/Neural-Computing/blob/main/CS4287_Prj1_24293059_id2_id3.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" 29 ] 30 }, 31 { 32 "cell_type": "markdown", 33 "source": [ 34 "Lars Jacobs (24293059)\n", 35 "William Lindholm (24273759)\n", 36 "name 3 (id3)\n", 37 "\n" 38 ], 39 "metadata": { 40 "id": "gNbyHNt__G-S" 41 } 42 }, 43 { 44 "cell_type": "markdown", 45 "source": [ 46 "# Project 1 notes\n", 47 "-----------------\n", 48 "\n", 49 "## Data Set\n", 50 "\n", 51 "Skin cancer dataset. This dataset contains 1800 pictures of benign cell pictures and 1500 pictures of malignant cell pictures\n", 52 "\n", 53 "## Pre-processing\n", 54 "\n", 55 "This will be resizing and flipping the pictures randomly to improve the models generalization. Maybe grayscaling and exposure settings that can also be changed\n", 56 "\n", 57 "## Network and hyperparameters\n", 58 "\n", 59 "Probably this will be most work. Figuring out which network setup works best and makes most sense. Lots of research needed here to know what kind of layers and how big / how much of them to use.\n", 60 "\n", 61 "## Loss Function\n", 62 "\n", 63 "Try different loss functions and try to explain why some work better than others:\n", 64 "- MSE\n", 65 "- Cross entropy\n", 66 "- DICE\n", 67 "\n", 68 "\n", 69 "## Optimiser\n", 70 "\n", 71 "Try different optimisers and try to explain why some work better than others:\n", 72 "- SGD\n", 73 "- ADAM\n", 74 "\n", 75 "\n", 76 "## Cross Fold Validation\n", 77 "\n", 78 "Basically just use it, maybe 5 or 10 fold if needed\n", 79 "\n", 80 "## Results\n", 81 "\n", 82 "Display different kinds of metrics. For classification of our dataset we can use terms like FPR, TPR, precision, recall, accuracy, etc. Make a confusion matrix, stuff like that\n", 83 "\n", 84 "## Evaluation\n", 85 "\n", 86 "Try to see if we overfitted or underfitted the data. Not sure how to do this yet but we can figure it out.\n", 87 "\n", 88 "## Experiments\n", 89 "\n", 90 "Experiments with number of layers and what kind of layers for example. It will be crucial here to keep our notebook clean and make use of the code blocks in the notebook so we dont have to rerun all the code for different experiments." 91 ], 92 "metadata": { 93 "id": "ZLO-lC_K8YiA" 94 } 95 }, 96 { 97 "cell_type": "code", 98 "source": [ 99 "# Needed libraries\n", 100 "!pip install kaggle;\n", 101 "\n", 102 "from google.colab import files\n", 103 "\n", 104 "files.upload()\n", 105 "\n", 106 "! mkdir ~/.kaggle;\n", 107 "! cp kaggle.json ~/.kaggle/;\n", 108 "! chmod 600 ~/.kaggle/kaggle.json;\n", 109 "! kaggle datasets list" 110 ], 111 "metadata": { 112 "colab": { 113 "base_uri": "https://localhost:8080/", 114 "height": 700 115 }, 116 "id": "AzQD5pW8EaGt", 117 "outputId": "4ac945d0-d487-4d47-b8a2-dc8242c8b319" 118 }, 119 "execution_count": null, 120 "outputs": [ 121 { 122 "output_type": "stream", 123 "name": "stdout", 124 "text": [ 125 "Requirement already satisfied: kaggle in /usr/local/lib/python3.10/dist-packages (1.6.17)\n", 126 "Requirement already satisfied: six>=1.10 in /usr/local/lib/python3.10/dist-packages (from kaggle) (1.16.0)\n", 127 "Requirement already satisfied: certifi>=2023.7.22 in /usr/local/lib/python3.10/dist-packages (from kaggle) (2024.8.30)\n", 128 "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.10/dist-packages (from kaggle) (2.8.2)\n", 129 "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from kaggle) (2.32.3)\n", 130 "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from kaggle) (4.66.5)\n", 131 "Requirement already satisfied: python-slugify in /usr/local/lib/python3.10/dist-packages (from kaggle) (8.0.4)\n", 132 "Requirement already satisfied: urllib3 in /usr/local/lib/python3.10/dist-packages (from kaggle) (2.2.3)\n", 133 "Requirement already satisfied: bleach in /usr/local/lib/python3.10/dist-packages (from kaggle) (6.1.0)\n", 134 "Requirement already satisfied: webencodings in /usr/local/lib/python3.10/dist-packages (from bleach->kaggle) (0.5.1)\n", 135 "Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.10/dist-packages (from python-slugify->kaggle) (1.3)\n", 136 "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->kaggle) (3.4.0)\n", 137 "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->kaggle) (3.10)\n" 138 ] 139 }, 140 { 141 "output_type": "display_data", 142 "data": { 143 "text/plain": [ 144 "<IPython.core.display.HTML object>" 145 ], 146 "text/html": [ 147 "\n", 148 " <input type=\"file\" id=\"files-517f3aeb-8cdd-4cb8-bb70-2c99ddd74e93\" name=\"files[]\" multiple disabled\n", 149 " style=\"border:none\" />\n", 150 " <output id=\"result-517f3aeb-8cdd-4cb8-bb70-2c99ddd74e93\">\n", 151 " Upload widget is only available when the cell has been executed in the\n", 152 " current browser session. Please rerun this cell to enable.\n", 153 " </output>\n", 154 " <script>// Copyright 2017 Google LLC\n", 155 "//\n", 156 "// Licensed under the Apache License, Version 2.0 (the \"License\");\n", 157 "// you may not use this file except in compliance with the License.\n", 158 "// You may obtain a copy of the License at\n", 159 "//\n", 160 "// http://www.apache.org/licenses/LICENSE-2.0\n", 161 "//\n", 162 "// Unless required by applicable law or agreed to in writing, software\n", 163 "// distributed under the License is distributed on an \"AS IS\" BASIS,\n", 164 "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n", 165 "// See the License for the specific language governing permissions and\n", 166 "// limitations under the License.\n", 167 "\n", 168 "/**\n", 169 " * @fileoverview Helpers for google.colab Python module.\n", 170 " */\n", 171 "(function(scope) {\n", 172 "function span(text, styleAttributes = {}) {\n", 173 " const element = document.createElement('span');\n", 174 " element.textContent = text;\n", 175 " for (const key of Object.keys(styleAttributes)) {\n", 176 " element.style[key] = styleAttributes[key];\n", 177 " }\n", 178 " return element;\n", 179 "}\n", 180 "\n", 181 "// Max number of bytes which will be uploaded at a time.\n", 182 "const MAX_PAYLOAD_SIZE = 100 * 1024;\n", 183 "\n", 184 "function _uploadFiles(inputId, outputId) {\n", 185 " const steps = uploadFilesStep(inputId, outputId);\n", 186 " const outputElement = document.getElementById(outputId);\n", 187 " // Cache steps on the outputElement to make it available for the next call\n", 188 " // to uploadFilesContinue from Python.\n", 189 " outputElement.steps = steps;\n", 190 "\n", 191 " return _uploadFilesContinue(outputId);\n", 192 "}\n", 193 "\n", 194 "// This is roughly an async generator (not supported in the browser yet),\n", 195 "// where there are multiple asynchronous steps and the Python side is going\n", 196 "// to poll for completion of each step.\n", 197 "// This uses a Promise to block the python side on completion of each step,\n", 198 "// then passes the result of the previous step as the input to the next step.\n", 199 "function _uploadFilesContinue(outputId) {\n", 200 " const outputElement = document.getElementById(outputId);\n", 201 " const steps = outputElement.steps;\n", 202 "\n", 203 " const next = steps.next(outputElement.lastPromiseValue);\n", 204 " return Promise.resolve(next.value.promise).then((value) => {\n", 205 " // Cache the last promise value to make it available to the next\n", 206 " // step of the generator.\n", 207 " outputElement.lastPromiseValue = value;\n", 208 " return next.value.response;\n", 209 " });\n", 210 "}\n", 211 "\n", 212 "/**\n", 213 " * Generator function which is called between each async step of the upload\n", 214 " * process.\n", 215 " * @param {string} inputId Element ID of the input file picker element.\n", 216 " * @param {string} outputId Element ID of the output display.\n", 217 " * @return {!Iterable<!Object>} Iterable of next steps.\n", 218 " */\n", 219 "function* uploadFilesStep(inputId, outputId) {\n", 220 " const inputElement = document.getElementById(inputId);\n", 221 " inputElement.disabled = false;\n", 222 "\n", 223 " const outputElement = document.getElementById(outputId);\n", 224 " outputElement.innerHTML = '';\n", 225 "\n", 226 " const pickedPromise = new Promise((resolve) => {\n", 227 " inputElement.addEventListener('change', (e) => {\n", 228 " resolve(e.target.files);\n", 229 " });\n", 230 " });\n", 231 "\n", 232 " const cancel = document.createElement('button');\n", 233 " inputElement.parentElement.appendChild(cancel);\n", 234 " cancel.textContent = 'Cancel upload';\n", 235 " const cancelPromise = new Promise((resolve) => {\n", 236 " cancel.onclick = () => {\n", 237 " resolve(null);\n", 238 " };\n", 239 " });\n", 240 "\n", 241 " // Wait for the user to pick the files.\n", 242 " const files = yield {\n", 243 " promise: Promise.race([pickedPromise, cancelPromise]),\n", 244 " response: {\n", 245 " action: 'starting',\n", 246 " }\n", 247 " };\n", 248 "\n", 249 " cancel.remove();\n", 250 "\n", 251 " // Disable the input element since further picks are not allowed.\n", 252 " inputElement.disabled = true;\n", 253 "\n", 254 " if (!files) {\n", 255 " return {\n", 256 " response: {\n", 257 " action: 'complete',\n", 258 " }\n", 259 " };\n", 260 " }\n", 261 "\n", 262 " for (const file of files) {\n", 263 " const li = document.createElement('li');\n", 264 " li.append(span(file.name, {fontWeight: 'bold'}));\n", 265 " li.append(span(\n", 266 " `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n", 267 " `last modified: ${\n", 268 " file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n", 269 " 'n/a'} - `));\n", 270 " const percent = span('0% done');\n", 271 " li.appendChild(percent);\n", 272 "\n", 273 " outputElement.appendChild(li);\n", 274 "\n", 275 " const fileDataPromise = new Promise((resolve) => {\n", 276 " const reader = new FileReader();\n", 277 " reader.onload = (e) => {\n", 278 " resolve(e.target.result);\n", 279 " };\n", 280 " reader.readAsArrayBuffer(file);\n", 281 " });\n", 282 " // Wait for the data to be ready.\n", 283 " let fileData = yield {\n", 284 " promise: fileDataPromise,\n", 285 " response: {\n", 286 " action: 'continue',\n", 287 " }\n", 288 " };\n", 289 "\n", 290 " // Use a chunked sending to avoid message size limits. See b/62115660.\n", 291 " let position = 0;\n", 292 " do {\n", 293 " const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n", 294 " const chunk = new Uint8Array(fileData, position, length);\n", 295 " position += length;\n", 296 "\n", 297 " const base64 = btoa(String.fromCharCode.apply(null, chunk));\n", 298 " yield {\n", 299 " response: {\n", 300 " action: 'append',\n", 301 " file: file.name,\n", 302 " data: base64,\n", 303 " },\n", 304 " };\n", 305 "\n", 306 " let percentDone = fileData.byteLength === 0 ?\n", 307 " 100 :\n", 308 " Math.round((position / fileData.byteLength) * 100);\n", 309 " percent.textContent = `${percentDone}% done`;\n", 310 "\n", 311 " } while (position < fileData.byteLength);\n", 312 " }\n", 313 "\n", 314 " // All done.\n", 315 " yield {\n", 316 " response: {\n", 317 " action: 'complete',\n", 318 " }\n", 319 " };\n", 320 "}\n", 321 "\n", 322 "scope.google = scope.google || {};\n", 323 "scope.google.colab = scope.google.colab || {};\n", 324 "scope.google.colab._files = {\n", 325 " _uploadFiles,\n", 326 " _uploadFilesContinue,\n", 327 "};\n", 328 "})(self);\n", 329 "</script> " 330 ] 331 }, 332 "metadata": {} 333 }, 334 { 335 "output_type": "stream", 336 "name": "stdout", 337 "text": [ 338 "Saving kaggle.json to kaggle.json\n", 339 "ref title size lastUpdated downloadCount voteCount usabilityRating \n", 340 "------------------------------------------------------------ ------------------------------------------------- ----- ------------------- ------------- --------- --------------- \n", 341 "lainguyn123/student-performance-factors Student Performance Factors 94KB 2024-09-02 10:53:57 34037 605 1.0 \n", 342 "valakhorasani/mobile-device-usage-and-user-behavior-dataset Mobile Device Usage and User Behavior Dataset 11KB 2024-09-28 20:21:12 6283 113 1.0 \n", 343 "abdulszz/spotify-most-streamed-songs Spotify Most Streamed Songs 60KB 2024-09-07 18:23:14 13488 174 1.0 \n", 344 "valakhorasani/gym-members-exercise-dataset Gym Members Exercise Dataset 22KB 2024-10-06 11:27:38 2978 62 1.0 \n", 345 "ankulsharma150/marketing-analytics-project Marketing Analytics Project 38KB 2024-10-01 09:27:22 1568 27 1.0 \n", 346 "prajwaldongre/top-100-healthiest-food-in-the-world 100 Healthiest Foods:Nutrition and Origin dataset 3KB 2024-10-11 09:40:41 1267 32 1.0 \n", 347 "ka66ledata/gym-membership-dataset Gym Membership Dataset 24KB 2024-10-14 06:48:29 1489 25 1.0 \n", 348 "saisiddartha69/customer-churn-classification Customer Churn Classification 553KB 2024-10-15 02:32:01 839 25 0.9411765 \n", 349 "mafzal19/electric-vehicle-sales-by-state-in-india Electric Vehicle Sales by State in India 453KB 2024-10-11 18:59:45 1368 27 1.0 \n", 350 "waqi786/remote-work-and-mental-health Remote Work & Mental Health 🌍🧠 93KB 2024-09-22 11:44:29 5921 86 1.0 \n", 351 "waqi786/youth-smoking-and-drug-dataset Youth Smoking and Drug Dataset 🚭💊 152KB 2024-10-08 15:22:23 1800 31 1.0 \n", 352 "zafarali27/house-price-prediction-dataset House Price Prediction Dataset 29KB 2024-09-21 19:19:08 1864 32 1.0 \n", 353 "valakhorasani/electric-vehicle-charging-patterns Electric Vehicle Charging Patterns 130KB 2024-10-02 10:52:27 2130 58 1.0 \n", 354 "alexandrakim2201/spotify-dataset Spotify User Reviews 3MB 2024-10-03 10:36:36 1234 30 1.0 \n", 355 "zafarali27/car-price-prediction Car Price Prediction 45KB 2024-09-21 20:30:22 2309 31 1.0 \n", 356 "syedfaizanalii/predict-students-dropout-and-academic-success Predict Students Dropout and Academic Success 105KB 2024-09-28 09:41:55 2311 58 1.0 \n", 357 "sachinkumar62/phone-price-prediction-dataset Phone Price Prediction Dataset 13MB 2024-10-06 17:39:10 822 28 1.0 \n", 358 "owm4096/laptop-prices Laptop Prices 25KB 2024-09-09 12:43:01 9616 134 1.0 \n", 359 "willianoliveiragibin/marvel-vs-dc Marvel vs DC 107KB 2024-09-26 22:51:04 2118 32 1.0 \n", 360 "ankulsharma150/food-order-cost-and-profit-analysis Food Order Cost and Profit Analysis 28KB 2024-09-30 13:38:30 1355 26 1.0 \n" 361 ] 362 } 363 ] 364 }, 365 { 366 "cell_type": "markdown", 367 "source": [ 368 "**Loading the dataset**" 369 ], 370 "metadata": { 371 "id": "D30oqzQgCkdt" 372 } 373 }, 374 { 375 "cell_type": "code", 376 "source": [ 377 "!kaggle datasets download -d rm1000/skin-cancer-isic-images;\n", 378 "!unzip skin-cancer-isic-images.zip;\n", 379 "\n" 380 ], 381 "metadata": { 382 "id": "Lv9XC-tFCocp", 383 "colab": { 384 "base_uri": "https://localhost:8080/" 385 }, 386 "outputId": "ad9ac261-c2f2-4681-9c77-e5c60ff510e3", 387 "collapsed": true 388 }, 389 "execution_count": null, 390 "outputs": [ 391 { 392 "output_type": "stream", 393 "name": "stdout", 394 "text": [ 395 "Dataset URL: https://www.kaggle.com/datasets/rm1000/skin-cancer-isic-images\n", 396 "License(s): CC0-1.0\n", 397 "Downloading skin-cancer-isic-images.zip to /content\n", 398 " 97% 49.0M/50.6M [00:04<00:00, 18.0MB/s]\n", 399 "100% 50.6M/50.6M [00:04<00:00, 11.7MB/s]\n", 400 "Archive: skin-cancer-isic-images.zip\n", 401 " inflating: benign/0000.jpg \n", 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" inflating: benign/1390.jpg \n", 1792 " inflating: benign/1391.jpg \n", 1793 " inflating: benign/1392.jpg \n", 1794 " inflating: benign/1393.jpg \n", 1795 " inflating: benign/1394.jpg \n", 1796 " inflating: benign/1395.jpg \n", 1797 " inflating: benign/1396.jpg \n", 1798 " inflating: benign/1397.jpg \n", 1799 " inflating: benign/1398.jpg \n", 1800 " inflating: benign/1399.jpg \n", 1801 " inflating: benign/1400.jpg \n", 1802 " inflating: benign/1401.jpg \n", 1803 " inflating: benign/1402.jpg \n", 1804 " inflating: benign/1403.jpg \n", 1805 " inflating: benign/1404.jpg \n", 1806 " inflating: benign/1405.jpg \n", 1807 " inflating: benign/1406.jpg \n", 1808 " inflating: benign/1407.jpg \n", 1809 " inflating: benign/1408.jpg \n", 1810 " inflating: benign/1409.jpg \n", 1811 " inflating: benign/1410.jpg \n", 1812 " inflating: benign/1411.jpg \n", 1813 " inflating: benign/1412.jpg \n", 1814 " inflating: benign/1413.jpg \n", 1815 " inflating: benign/1414.jpg \n", 1816 " inflating: 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" inflating: benign/1441.jpg \n", 1843 " inflating: benign/1442.jpg \n", 1844 " inflating: benign/1443.jpg \n", 1845 " inflating: benign/1444.jpg \n", 1846 " inflating: benign/1445.jpg \n", 1847 " inflating: benign/1446.jpg \n", 1848 " inflating: benign/1447.jpg \n", 1849 " inflating: benign/1448.jpg \n", 1850 " inflating: benign/1449.jpg \n", 1851 " inflating: benign/1450.jpg \n", 1852 " inflating: benign/1451.jpg \n", 1853 " inflating: benign/1452.jpg \n", 1854 " inflating: benign/1453.jpg \n", 1855 " inflating: benign/1454.jpg \n", 1856 " inflating: benign/1455.jpg \n", 1857 " inflating: benign/1456.jpg \n", 1858 " inflating: benign/1457.jpg \n", 1859 " inflating: benign/1458.jpg \n", 1860 " inflating: benign/1459.jpg \n", 1861 " inflating: benign/1460.jpg \n", 1862 " inflating: benign/1461.jpg \n", 1863 " inflating: benign/1462.jpg \n", 1864 " inflating: benign/1463.jpg \n", 1865 " inflating: benign/1464.jpg \n", 1866 " inflating: benign/1465.jpg \n", 1867 " inflating: 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" inflating: benign/1492.jpg \n", 1894 " inflating: benign/1493.jpg \n", 1895 " inflating: benign/1494.jpg \n", 1896 " inflating: benign/1495.jpg \n", 1897 " inflating: benign/1496.jpg \n", 1898 " inflating: benign/1497.jpg \n", 1899 " inflating: benign/1498.jpg \n", 1900 " inflating: benign/1499.jpg \n", 1901 " inflating: benign/1500.jpg \n", 1902 " inflating: benign/1501.jpg \n", 1903 " inflating: benign/1502.jpg \n", 1904 " inflating: benign/1503.jpg \n", 1905 " inflating: benign/1504.jpg \n", 1906 " inflating: benign/1505.jpg \n", 1907 " inflating: benign/1506.jpg \n", 1908 " inflating: benign/1507.jpg \n", 1909 " inflating: benign/1508.jpg \n", 1910 " inflating: benign/1509.jpg \n", 1911 " inflating: benign/1510.jpg \n", 1912 " inflating: benign/1511.jpg \n", 1913 " inflating: benign/1512.jpg \n", 1914 " inflating: benign/1513.jpg \n", 1915 " inflating: benign/1514.jpg \n", 1916 " inflating: benign/1515.jpg \n", 1917 " inflating: benign/1516.jpg \n", 1918 " inflating: benign/1517.jpg \n", 1919 " inflating: benign/1518.jpg \n", 1920 " inflating: benign/1519.jpg \n", 1921 " inflating: benign/1520.jpg \n", 1922 " inflating: benign/1521.jpg \n", 1923 " inflating: benign/1522.jpg \n", 1924 " inflating: benign/1523.jpg \n", 1925 " inflating: benign/1524.jpg \n", 1926 " inflating: benign/1525.jpg \n", 1927 " inflating: benign/1526.jpg \n", 1928 " inflating: benign/1527.jpg \n", 1929 " inflating: benign/1528.jpg \n", 1930 " inflating: benign/1529.jpg \n", 1931 " inflating: benign/1530.jpg \n", 1932 " inflating: benign/1531.jpg \n", 1933 " inflating: benign/1532.jpg \n", 1934 " inflating: benign/1533.jpg \n", 1935 " inflating: benign/1534.jpg \n", 1936 " inflating: benign/1535.jpg \n", 1937 " inflating: benign/1536.jpg \n", 1938 " inflating: benign/1537.jpg \n", 1939 " inflating: benign/1538.jpg \n", 1940 " inflating: benign/1539.jpg \n", 1941 " inflating: benign/1540.jpg \n", 1942 " inflating: benign/1541.jpg \n", 1943 " inflating: benign/1542.jpg \n", 1944 " inflating: benign/1543.jpg \n", 1945 " inflating: benign/1544.jpg \n", 1946 " inflating: benign/1545.jpg \n", 1947 " inflating: benign/1546.jpg \n", 1948 " inflating: benign/1547.jpg \n", 1949 " inflating: benign/1548.jpg \n", 1950 " inflating: benign/1549.jpg \n", 1951 " inflating: benign/1550.jpg \n", 1952 " inflating: benign/1551.jpg \n", 1953 " inflating: benign/1552.jpg \n", 1954 " inflating: benign/1553.jpg \n", 1955 " inflating: benign/1554.jpg \n", 1956 " inflating: benign/1555.jpg \n", 1957 " inflating: benign/1556.jpg \n", 1958 " inflating: benign/1557.jpg \n", 1959 " inflating: benign/1558.jpg \n", 1960 " inflating: benign/1559.jpg \n", 1961 " inflating: benign/1560.jpg \n", 1962 " inflating: benign/1561.jpg \n", 1963 " inflating: benign/1562.jpg \n", 1964 " inflating: benign/1563.jpg \n", 1965 " inflating: benign/1564.jpg \n", 1966 " inflating: benign/1565.jpg \n", 1967 " inflating: benign/1566.jpg \n", 1968 " inflating: benign/1567.jpg \n", 1969 " inflating: benign/1568.jpg \n", 1970 " inflating: benign/1569.jpg \n", 1971 " inflating: benign/1570.jpg \n", 1972 " inflating: benign/1571.jpg \n", 1973 " inflating: benign/1572.jpg \n", 1974 " inflating: benign/1573.jpg \n", 1975 " inflating: benign/1574.jpg \n", 1976 " inflating: benign/1575.jpg \n", 1977 " inflating: benign/1576.jpg \n", 1978 " inflating: benign/1577.jpg \n", 1979 " inflating: benign/1578.jpg \n", 1980 " inflating: benign/1579.jpg \n", 1981 " inflating: benign/1580.jpg \n", 1982 " inflating: benign/1581.jpg \n", 1983 " inflating: benign/1582.jpg \n", 1984 " inflating: benign/1583.jpg \n", 1985 " inflating: benign/1584.jpg \n", 1986 " inflating: benign/1585.jpg \n", 1987 " inflating: benign/1586.jpg \n", 1988 " inflating: benign/1587.jpg \n", 1989 " inflating: benign/1588.jpg \n", 1990 " inflating: benign/1589.jpg \n", 1991 " inflating: benign/1590.jpg \n", 1992 " inflating: benign/1591.jpg \n", 1993 " inflating: benign/1592.jpg \n", 1994 " inflating: benign/1593.jpg \n", 1995 " inflating: benign/1594.jpg \n", 1996 " inflating: benign/1595.jpg \n", 1997 " inflating: benign/1596.jpg \n", 1998 " inflating: benign/1597.jpg \n", 1999 " inflating: benign/1598.jpg \n", 2000 " inflating: benign/1599.jpg \n", 2001 " inflating: benign/1600.jpg \n", 2002 " inflating: benign/1601.jpg \n", 2003 " inflating: benign/1602.jpg \n", 2004 " inflating: benign/1603.jpg \n", 2005 " inflating: benign/1604.jpg \n", 2006 " inflating: benign/1605.jpg \n", 2007 " inflating: benign/1606.jpg \n", 2008 " inflating: benign/1607.jpg \n", 2009 " inflating: benign/1608.jpg \n", 2010 " inflating: benign/1609.jpg \n", 2011 " inflating: benign/1610.jpg \n", 2012 " inflating: benign/1611.jpg \n", 2013 " inflating: benign/1612.jpg \n", 2014 " inflating: benign/1613.jpg \n", 2015 " inflating: benign/1614.jpg \n", 2016 " inflating: benign/1615.jpg \n", 2017 " inflating: benign/1616.jpg \n", 2018 " inflating: benign/1617.jpg \n", 2019 " inflating: benign/1618.jpg \n", 2020 " inflating: 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3501 " inflating: malignant/1300.jpg \n", 3502 " inflating: malignant/1301.jpg \n", 3503 " inflating: malignant/1302.jpg \n", 3504 " inflating: malignant/1303.jpg \n", 3505 " inflating: malignant/1304.jpg \n", 3506 " inflating: malignant/1305.jpg \n", 3507 " inflating: malignant/1306.jpg \n", 3508 " inflating: malignant/1307.jpg \n", 3509 " inflating: malignant/1308.jpg \n", 3510 " inflating: malignant/1309.jpg \n", 3511 " inflating: malignant/1310.jpg \n", 3512 " inflating: malignant/1311.jpg \n", 3513 " inflating: malignant/1312.jpg \n", 3514 " inflating: malignant/1313.jpg \n", 3515 " inflating: malignant/1314.jpg \n", 3516 " inflating: malignant/1315.jpg \n", 3517 " inflating: malignant/1316.jpg \n", 3518 " inflating: malignant/1317.jpg \n", 3519 " inflating: malignant/1318.jpg \n", 3520 " inflating: malignant/1319.jpg \n", 3521 " inflating: malignant/1320.jpg \n", 3522 " inflating: malignant/1321.jpg \n", 3523 " inflating: malignant/1322.jpg \n", 3524 " inflating: malignant/1323.jpg \n", 3525 " inflating: malignant/1324.jpg \n", 3526 " inflating: malignant/1325.jpg \n", 3527 " inflating: malignant/1326.jpg \n", 3528 " inflating: malignant/1327.jpg \n", 3529 " inflating: malignant/1328.jpg \n", 3530 " inflating: malignant/1329.jpg \n", 3531 " inflating: malignant/1330.jpg \n", 3532 " inflating: malignant/1331.jpg \n", 3533 " inflating: malignant/1332.jpg \n", 3534 " inflating: malignant/1333.jpg \n", 3535 " inflating: malignant/1334.jpg \n", 3536 " inflating: malignant/1335.jpg \n", 3537 " inflating: malignant/1336.jpg \n", 3538 " inflating: malignant/1337.jpg \n", 3539 " inflating: malignant/1338.jpg \n", 3540 " inflating: malignant/1339.jpg \n", 3541 " inflating: malignant/1340.jpg \n", 3542 " inflating: malignant/1341.jpg \n", 3543 " inflating: malignant/1342.jpg \n", 3544 " inflating: malignant/1343.jpg \n", 3545 " inflating: malignant/1344.jpg \n", 3546 " inflating: malignant/1345.jpg \n", 3547 " inflating: malignant/1346.jpg \n", 3548 " inflating: malignant/1347.jpg \n", 3549 " inflating: malignant/1348.jpg \n", 3550 " inflating: malignant/1349.jpg \n", 3551 " inflating: malignant/1350.jpg \n", 3552 " inflating: malignant/1351.jpg \n", 3553 " inflating: malignant/1352.jpg \n", 3554 " inflating: malignant/1353.jpg \n", 3555 " inflating: malignant/1354.jpg \n", 3556 " inflating: malignant/1355.jpg \n", 3557 " inflating: malignant/1356.jpg \n", 3558 " inflating: malignant/1357.jpg \n", 3559 " inflating: malignant/1358.jpg \n", 3560 " inflating: malignant/1359.jpg \n", 3561 " inflating: malignant/1360.jpg \n", 3562 " inflating: malignant/1361.jpg \n", 3563 " inflating: malignant/1362.jpg \n", 3564 " inflating: malignant/1363.jpg \n", 3565 " inflating: malignant/1364.jpg \n", 3566 " inflating: malignant/1365.jpg \n", 3567 " inflating: malignant/1366.jpg \n", 3568 " inflating: malignant/1367.jpg \n", 3569 " inflating: malignant/1368.jpg \n", 3570 " inflating: malignant/1369.jpg \n", 3571 " inflating: malignant/1370.jpg \n", 3572 " inflating: malignant/1371.jpg \n", 3573 " inflating: malignant/1372.jpg \n", 3574 " inflating: malignant/1373.jpg \n", 3575 " inflating: malignant/1374.jpg \n", 3576 " inflating: malignant/1375.jpg \n", 3577 " inflating: malignant/1376.jpg \n", 3578 " inflating: malignant/1377.jpg \n", 3579 " inflating: malignant/1378.jpg \n", 3580 " inflating: malignant/1379.jpg \n", 3581 " inflating: malignant/1380.jpg \n", 3582 " inflating: malignant/1381.jpg \n", 3583 " inflating: malignant/1382.jpg \n", 3584 " inflating: malignant/1383.jpg \n", 3585 " inflating: malignant/1384.jpg \n", 3586 " inflating: malignant/1385.jpg \n", 3587 " inflating: malignant/1386.jpg \n", 3588 " inflating: malignant/1387.jpg \n", 3589 " inflating: malignant/1388.jpg \n", 3590 " inflating: malignant/1389.jpg \n", 3591 " inflating: malignant/1390.jpg \n", 3592 " inflating: malignant/1391.jpg \n", 3593 " inflating: malignant/1392.jpg \n", 3594 " inflating: malignant/1393.jpg \n", 3595 " inflating: malignant/1394.jpg \n", 3596 " inflating: malignant/1395.jpg \n", 3597 " inflating: malignant/1396.jpg \n", 3598 " inflating: malignant/1397.jpg \n", 3599 " inflating: malignant/1398.jpg \n", 3600 " inflating: malignant/1399.jpg \n", 3601 " inflating: malignant/1400.jpg \n", 3602 " inflating: malignant/1401.jpg \n", 3603 " inflating: malignant/1402.jpg \n", 3604 " inflating: malignant/1403.jpg \n", 3605 " inflating: malignant/1404.jpg \n", 3606 " inflating: malignant/1405.jpg \n", 3607 " inflating: malignant/1406.jpg \n", 3608 " inflating: malignant/1407.jpg \n", 3609 " inflating: malignant/1408.jpg \n", 3610 " inflating: malignant/1409.jpg \n", 3611 " inflating: malignant/1410.jpg \n", 3612 " inflating: malignant/1411.jpg \n", 3613 " inflating: malignant/1412.jpg \n", 3614 " inflating: malignant/1413.jpg \n", 3615 " inflating: malignant/1414.jpg \n", 3616 " inflating: malignant/1415.jpg \n", 3617 " inflating: malignant/1416.jpg \n", 3618 " inflating: malignant/1417.jpg \n", 3619 " inflating: malignant/1418.jpg \n", 3620 " inflating: malignant/1419.jpg \n", 3621 " inflating: malignant/1420.jpg \n", 3622 " inflating: malignant/1421.jpg \n", 3623 " inflating: malignant/1422.jpg \n", 3624 " inflating: malignant/1423.jpg \n", 3625 " inflating: malignant/1424.jpg \n", 3626 " inflating: malignant/1425.jpg \n", 3627 " inflating: malignant/1426.jpg \n", 3628 " inflating: malignant/1427.jpg \n", 3629 " inflating: malignant/1428.jpg \n", 3630 " inflating: malignant/1429.jpg \n", 3631 " inflating: malignant/1430.jpg \n", 3632 " inflating: malignant/1431.jpg \n", 3633 " inflating: malignant/1432.jpg \n", 3634 " inflating: malignant/1433.jpg \n", 3635 " inflating: malignant/1434.jpg \n", 3636 " inflating: malignant/1435.jpg \n", 3637 " inflating: malignant/1436.jpg \n", 3638 " inflating: malignant/1437.jpg \n", 3639 " inflating: malignant/1438.jpg \n", 3640 " inflating: malignant/1439.jpg \n", 3641 " inflating: malignant/1440.jpg \n", 3642 " inflating: malignant/1441.jpg \n", 3643 " inflating: malignant/1442.jpg \n", 3644 " inflating: malignant/1443.jpg \n", 3645 " inflating: malignant/1444.jpg \n", 3646 " inflating: malignant/1445.jpg \n", 3647 " inflating: malignant/1446.jpg \n", 3648 " inflating: malignant/1447.jpg \n", 3649 " inflating: malignant/1448.jpg \n", 3650 " inflating: malignant/1449.jpg \n", 3651 " inflating: malignant/1450.jpg \n", 3652 " inflating: malignant/1451.jpg \n", 3653 " inflating: malignant/1452.jpg \n", 3654 " inflating: malignant/1453.jpg \n", 3655 " inflating: malignant/1454.jpg \n", 3656 " inflating: malignant/1455.jpg \n", 3657 " inflating: malignant/1456.jpg \n", 3658 " inflating: malignant/1457.jpg \n", 3659 " inflating: malignant/1458.jpg \n", 3660 " inflating: malignant/1459.jpg \n", 3661 " inflating: malignant/1460.jpg \n", 3662 " inflating: malignant/1461.jpg \n", 3663 " inflating: malignant/1462.jpg \n", 3664 " inflating: malignant/1463.jpg \n", 3665 " inflating: malignant/1464.jpg \n", 3666 " inflating: malignant/1465.jpg \n", 3667 " inflating: malignant/1466.jpg \n", 3668 " inflating: malignant/1467.jpg \n", 3669 " inflating: malignant/1468.jpg \n", 3670 " inflating: malignant/1469.jpg \n", 3671 " inflating: malignant/1470.jpg \n", 3672 " inflating: malignant/1471.jpg \n", 3673 " inflating: malignant/1472.jpg \n", 3674 " inflating: malignant/1473.jpg \n", 3675 " inflating: malignant/1474.jpg \n", 3676 " inflating: malignant/1475.jpg \n", 3677 " inflating: malignant/1476.jpg \n", 3678 " inflating: malignant/1477.jpg \n", 3679 " inflating: malignant/1478.jpg \n", 3680 " inflating: malignant/1479.jpg \n", 3681 " inflating: malignant/1480.jpg \n", 3682 " inflating: malignant/1481.jpg \n", 3683 " inflating: malignant/1482.jpg \n", 3684 " inflating: malignant/1483.jpg \n", 3685 " inflating: malignant/1484.jpg \n", 3686 " inflating: malignant/1485.jpg \n", 3687 " inflating: malignant/1486.jpg \n", 3688 " inflating: malignant/1487.jpg \n", 3689 " inflating: malignant/1488.jpg \n", 3690 " inflating: malignant/1489.jpg \n", 3691 " inflating: malignant/1490.jpg \n", 3692 " inflating: malignant/1491.jpg \n", 3693 " inflating: malignant/1492.jpg \n", 3694 " inflating: malignant/1493.jpg \n", 3695 " inflating: malignant/1494.jpg \n", 3696 " inflating: malignant/1495.jpg \n", 3697 " inflating: malignant/1496.jpg \n" 3698 ] 3699 } 3700 ] 3701 }, 3702 { 3703 "cell_type": "code", 3704 "source": [ 3705 "import os\n", 3706 "import matplotlib.pyplot as plt\n", 3707 "from PIL import Image\n", 3708 "\n", 3709 "# Set the path for your dataset\n", 3710 "benign_path = './benign'\n", 3711 "malignant_path = './malignant'\n", 3712 "\n", 3713 "# Function to load images from a folder\n", 3714 "def load_images_from_folder(folder):\n", 3715 " images = []\n", 3716 " for filename in os.listdir(folder):\n", 3717 " img_path = os.path.join(folder, filename)\n", 3718 " img = Image.open(img_path)\n", 3719 " images.append(img)\n", 3720 " return images\n", 3721 "\n", 3722 "# Load benign and malignant images\n", 3723 "benign_images = load_images_from_folder(benign_path)\n", 3724 "malignant_images = load_images_from_folder(malignant_path)\n", 3725 "\n", 3726 "# Display a few images from both categories\n", 3727 "def display_images(images, label, n=5):\n", 3728 " plt.figure(figsize=(10, 5))\n", 3729 " for i in range(n):\n", 3730 " plt.subplot(1, n, i + 1)\n", 3731 " plt.imshow(images[i])\n", 3732 " plt.title(f'{label} {i+1}')\n", 3733 " plt.axis('off')\n", 3734 " plt.show()\n", 3735 "\n", 3736 "# Display 5 benign and 5 malignant images\n", 3737 "display_images(benign_images, 'Benign', 5)\n", 3738 "display_images(malignant_images, 'Malignant', 5)\n" 3739 ], 3740 "metadata": { 3741 "colab": { 3742 "base_uri": "https://localhost:8080/", 3743 "height": 367 3744 }, 3745 "id": "1jpf8RG8FbPf", 3746 "outputId": "4a4213c8-683a-403f-f818-e5ae977314e5" 3747 }, 3748 "execution_count": null, 3749 "outputs": [ 3750 { 3751 "output_type": "display_data", 3752 "data": { 3753 "text/plain": [ 3754 "<Figure size 1000x500 with 5 Axes>" 3755 ], 3756 "image/png": 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\n" 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\n" 3767 }, 3768 "metadata": {} 3769 } 3770 ] 3771 }, 3772 { 3773 "cell_type": "markdown", 3774 "source": [ 3775 "# Preprocess dataset into" 3776 ], 3777 "metadata": { 3778 "id": "r-9GxnJHk_IH" 3779 } 3780 }, 3781 { 3782 "cell_type": "code", 3783 "source": [ 3784 "import tensorflow as tf\n", 3785 "from tensorflow.keras import datasets, layers, models, regularizers, optimizers\n", 3786 "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", 3787 "import numpy as np\n", 3788 "import matplotlib\n", 3789 "import matplotlib.pyplot as plt\n", 3790 "from sklearn.model_selection import train_test_split # Import train_test_split for validation set creation\n", 3791 "\n", 3792 "NUM_CLASSES = 2\n", 3793 "IMG_SIZE = (228, 228)\n", 3794 "TEST_SIZE = 0.2 # 20% of data for test\n", 3795 "VAL_SIZE = 0.1 # 20% of training data for validation\n", 3796 "\n", 3797 "# Function to resize and normalize the images using TensorFlow/Keras\n", 3798 "def preprocess_images(images):\n", 3799 " # Convert the images to a NumPy array and resize\n", 3800 " images_resized = np.array([tf.image.resize(img, IMG_SIZE).numpy() for img in images])\n", 3801 "\n", 3802 " # Normalize the images to [0, 1] range\n", 3803 " images_resized = images_resized.astype('float32') / 255.0\n", 3804 " return images_resized\n", 3805 "\n", 3806 "# Function to load data and split into train, validation, and test sets\n", 3807 "def load_data():\n", 3808 " # Preprocess benign and malignant images\n", 3809 " benign_images_array = preprocess_images(benign_images)\n", 3810 " malignant_images_array = preprocess_images(malignant_images)\n", 3811 "\n", 3812 " # Create labels: 0 for benign, 1 for malignant\n", 3813 " benign_labels = np.zeros(len(benign_images_array))\n", 3814 " malignant_labels = np.ones(len(malignant_images_array))\n", 3815 "\n", 3816 " # Combine images and labels\n", 3817 " X_data = np.concatenate((benign_images_array, malignant_images_array), axis=0)\n", 3818 " y_data = np.concatenate((benign_labels, malignant_labels), axis=0)\n", 3819 "\n", 3820 " # Shuffle the data manually using TensorFlow's random shuffling\n", 3821 " indices = np.arange(X_data.shape[0])\n", 3822 " np.random.shuffle(indices)\n", 3823 " X_data = X_data[indices]\n", 3824 " y_data = y_data[indices]\n", 3825 "\n", 3826 " # Split the dataset into training and test sets\n", 3827 " X_train, X_test, y_train, y_test = train_test_split(X_data, y_data, test_size=TEST_SIZE, random_state=42)\n", 3828 "\n", 3829 " # Further split the training data to create a validation set (80% training, 20% validation of training data)\n", 3830 " X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=VAL_SIZE, random_state=42)\n", 3831 "\n", 3832 " # Convert labels to one-hot encoding\n", 3833 " y_train = tf.keras.utils.to_categorical(y_train, NUM_CLASSES)\n", 3834 " y_val = tf.keras.utils.to_categorical(y_val, NUM_CLASSES)\n", 3835 " y_test = tf.keras.utils.to_categorical(y_test, NUM_CLASSES)\n", 3836 "\n", 3837 " return X_train, y_train, X_val, y_val, X_test, y_test\n", 3838 "\n", 3839 "# Call the function and load the data\n", 3840 "X_train, y_train, X_val, y_val, X_test, y_test = load_data()\n", 3841 "\n", 3842 "# Print the shapes of the datasets\n", 3843 "print(f'Shape of X_train: {X_train.shape}')\n", 3844 "print(f'Shape of y_train: {y_train.shape}')\n", 3845 "print(f'Shape of X_val: {X_val.shape}')\n", 3846 "print(f'Shape of y_val: {y_val.shape}')\n", 3847 "print(f'Shape of X_test: {X_test.shape}')\n", 3848 "print(f'Shape of y_test: {y_test.shape}')\n" 3849 ], 3850 "metadata": { 3851 "colab": { 3852 "base_uri": "https://localhost:8080/" 3853 }, 3854 "id": "hzkED5MihiXy", 3855 "outputId": "df501657-3e25-4644-def3-2c41e3af31ff" 3856 }, 3857 "execution_count": null, 3858 "outputs": [ 3859 { 3860 "output_type": "stream", 3861 "name": "stdout", 3862 "text": [ 3863 "Shape of X_train: (2373, 228, 228, 3)\n", 3864 "Shape of y_train: (2373, 2)\n", 3865 "Shape of X_val: (264, 228, 228, 3)\n", 3866 "Shape of y_val: (264, 2)\n", 3867 "Shape of X_test: (660, 228, 228, 3)\n", 3868 "Shape of y_test: (660, 2)\n" 3869 ] 3870 } 3871 ] 3872 }, 3873 { 3874 "cell_type": "code", 3875 "source": [ 3876 "import tensorflow as tf\n", 3877 "from tensorflow.keras import layers, models\n", 3878 "\n", 3879 "EPOCHS = 30\n", 3880 "NUM_CLASSES = 2 # Binary classification (benign, malignant)\n", 3881 "\n", 3882 "def build_model():\n", 3883 " model = models.Sequential()\n", 3884 "\n", 3885 " # 1st block\n", 3886 " model.add(layers.Conv2D(32, (3,3), padding='same', input_shape=X_train.shape[1:], activation='relu'))\n", 3887 " model.add(layers.BatchNormalization())\n", 3888 " model.add(layers.Conv2D(32, (3,3), padding='same', activation='relu'))\n", 3889 " model.add(layers.BatchNormalization())\n", 3890 " model.add(layers.MaxPooling2D(pool_size=(2,2)))\n", 3891 " model.add(layers.Dropout(0.2))\n", 3892 "\n", 3893 " # 2nd block\n", 3894 " model.add(layers.Conv2D(64, (3,3), padding='same', activation='relu'))\n", 3895 " model.add(layers.BatchNormalization())\n", 3896 " model.add(layers.Conv2D(64, (3,3), padding='same', activation='relu'))\n", 3897 " model.add(layers.BatchNormalization())\n", 3898 " model.add(layers.MaxPooling2D(pool_size=(2,2)))\n", 3899 " model.add(layers.Dropout(0.3))\n", 3900 "\n", 3901 " # 3rd block\n", 3902 " model.add(layers.Conv2D(128, (3,3), padding='same', activation='relu'))\n", 3903 " model.add(layers.BatchNormalization())\n", 3904 " model.add(layers.Conv2D(128, (3,3), padding='same', activation='relu'))\n", 3905 " model.add(layers.BatchNormalization())\n", 3906 " model.add(layers.MaxPooling2D(pool_size=(2,2)))\n", 3907 " model.add(layers.Dropout(0.4))\n", 3908 "\n", 3909 " # Dense layer\n", 3910 " model.add(layers.Flatten())\n", 3911 " model.add(layers.Dense(128, activation='relu'))\n", 3912 " model.add(layers.Dropout(0.5))\n", 3913 " model.add(layers.Dense(NUM_CLASSES, activation='softmax'))\n", 3914 "\n", 3915 " return model\n", 3916 "\n", 3917 "X_train, y_train, X_val, Y_val, X_test, y_test = load_data()\n", 3918 "\n", 3919 "# Build and compile the model\n", 3920 "model = build_model()\n", 3921 "model.compile(loss='categorical_crossentropy', # For multi-class classification (2 output classes)\n", 3922 " optimizer='RMSprop',\n", 3923 " metrics=['accuracy'])\n", 3924 "\n", 3925 "# Model summary\n", 3926 "model.summary()\n", 3927 "\n", 3928 "# Train the model\n", 3929 "batch_size = 128\n", 3930 "history = model.fit(X_train, y_train, batch_size=batch_size, epochs=EPOCHS, validation_data=(X_val, y_val))\n", 3931 "\n", 3932 "# Evaluate the model\n", 3933 "score = model.evaluate(X_test, y_test, batch_size=batch_size)\n", 3934 "\n", 3935 "# Print test results\n", 3936 "print(\"\\nTest loss:\", score[0])\n", 3937 "print('Test accuracy:', score[1])" 3938 ], 3939 "metadata": { 3940 "colab": { 3941 "base_uri": "https://localhost:8080/", 3942 "height": 1000 3943 }, 3944 "id": "Tiuh3AfXizta", 3945 "outputId": "a1441631-724c-41e4-d8e6-f9eebe89ccc0" 3946 }, 3947 "execution_count": null, 3948 "outputs": [ 3949 { 3950 "output_type": "display_data", 3951 "data": { 3952 "text/plain": [ 3953 "\u001b[1mModel: \"sequential_4\"\u001b[0m\n" 3954 ], 3955 "text/html": [ 3956 "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential_4\"</span>\n", 3957 "</pre>\n" 3958 ] 3959 }, 3960 "metadata": {} 3961 }, 3962 { 3963 "output_type": "display_data", 3964 "data": { 3965 "text/plain": [ 3966 "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓\n", 3967 "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n", 3968 "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩\n", 3969 "│ conv2d_24 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m228\u001b[0m, \u001b[38;5;34m228\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m896\u001b[0m │\n", 3970 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 3971 "│ batch_normalization_24 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m228\u001b[0m, \u001b[38;5;34m228\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m128\u001b[0m │\n", 3972 "│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n", 3973 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 3974 "│ conv2d_25 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m228\u001b[0m, \u001b[38;5;34m228\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m9,248\u001b[0m │\n", 3975 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 3976 "│ batch_normalization_25 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m228\u001b[0m, \u001b[38;5;34m228\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m128\u001b[0m │\n", 3977 "│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n", 3978 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 3979 "│ max_pooling2d_12 (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", 3980 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 3981 "│ dropout_16 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", 3982 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 3983 "│ conv2d_26 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m18,496\u001b[0m │\n", 3984 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 3985 "│ batch_normalization_26 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │\n", 3986 "│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n", 3987 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 3988 "│ conv2d_27 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m36,928\u001b[0m │\n", 3989 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 3990 "│ batch_normalization_27 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m114\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │\n", 3991 "│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n", 3992 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 3993 "│ max_pooling2d_13 (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m57\u001b[0m, \u001b[38;5;34m57\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", 3994 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 3995 "│ dropout_17 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m57\u001b[0m, \u001b[38;5;34m57\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", 3996 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 3997 "│ conv2d_28 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m57\u001b[0m, \u001b[38;5;34m57\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m73,856\u001b[0m │\n", 3998 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 3999 "│ batch_normalization_28 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m57\u001b[0m, \u001b[38;5;34m57\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │\n", 4000 "│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n", 4001 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4002 "│ conv2d_29 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m57\u001b[0m, \u001b[38;5;34m57\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m147,584\u001b[0m │\n", 4003 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4004 "│ batch_normalization_29 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m57\u001b[0m, \u001b[38;5;34m57\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │\n", 4005 "│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n", 4006 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4007 "│ max_pooling2d_14 (\u001b[38;5;33mMaxPooling2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", 4008 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4009 "│ dropout_18 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", 4010 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4011 "│ flatten_4 (\u001b[38;5;33mFlatten\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100352\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", 4012 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4013 "│ dense_8 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m12,845,184\u001b[0m │\n", 4014 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4015 "│ dropout_19 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", 4016 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4017 "│ dense_9 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m) │ \u001b[38;5;34m258\u001b[0m │\n", 4018 "└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘\n" 4019 ], 4020 "text/html": [ 4021 "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓\n", 4022 "┃<span style=\"font-weight: bold\"> Layer (type) </span>┃<span style=\"font-weight: bold\"> Output Shape </span>┃<span style=\"font-weight: bold\"> Param # </span>┃\n", 4023 "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩\n", 4024 "│ conv2d_24 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">228</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">228</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │\n", 4025 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4026 "│ batch_normalization_24 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">228</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">228</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │\n", 4027 "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ │ │\n", 4028 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4029 "│ conv2d_25 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">228</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">228</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">9,248</span> │\n", 4030 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4031 "│ batch_normalization_25 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">228</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">228</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │\n", 4032 "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ │ │\n", 4033 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4034 "│ max_pooling2d_12 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">114</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">114</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n", 4035 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4036 "│ dropout_16 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">114</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">114</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n", 4037 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4038 "│ conv2d_26 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">114</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">114</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">18,496</span> │\n", 4039 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4040 "│ batch_normalization_26 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">114</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">114</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │\n", 4041 "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ │ │\n", 4042 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4043 "│ conv2d_27 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">114</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">114</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │\n", 4044 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4045 "│ batch_normalization_27 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">114</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">114</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │\n", 4046 "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ │ │\n", 4047 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4048 "│ max_pooling2d_13 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">57</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">57</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n", 4049 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4050 "│ dropout_17 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">57</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">57</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n", 4051 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4052 "│ conv2d_28 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">57</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">57</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">73,856</span> │\n", 4053 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4054 "│ batch_normalization_28 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">57</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">57</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span> │\n", 4055 "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ │ │\n", 4056 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4057 "│ conv2d_29 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">57</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">57</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">147,584</span> │\n", 4058 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4059 "│ batch_normalization_29 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">57</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">57</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span> │\n", 4060 "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ │ │\n", 4061 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4062 "│ max_pooling2d_14 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n", 4063 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4064 "│ dropout_18 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n", 4065 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4066 "│ flatten_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">100352</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n", 4067 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4068 "│ dense_8 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">12,845,184</span> │\n", 4069 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4070 "│ dropout_19 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n", 4071 "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", 4072 "│ dense_9 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">258</span> │\n", 4073 "└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘\n", 4074 "</pre>\n" 4075 ] 4076 }, 4077 "metadata": {} 4078 }, 4079 { 4080 "output_type": "display_data", 4081 "data": { 4082 "text/plain": [ 4083 "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m13,134,242\u001b[0m (50.10 MB)\n" 4084 ], 4085 "text/html": [ 4086 "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">13,134,242</span> (50.10 MB)\n", 4087 "</pre>\n" 4088 ] 4089 }, 4090 "metadata": {} 4091 }, 4092 { 4093 "output_type": "display_data", 4094 "data": { 4095 "text/plain": [ 4096 "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m13,133,346\u001b[0m (50.10 MB)\n" 4097 ], 4098 "text/html": [ 4099 "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">13,133,346</span> (50.10 MB)\n", 4100 "</pre>\n" 4101 ] 4102 }, 4103 "metadata": {} 4104 }, 4105 { 4106 "output_type": "display_data", 4107 "data": { 4108 "text/plain": [ 4109 "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m896\u001b[0m (3.50 KB)\n" 4110 ], 4111 "text/html": [ 4112 "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> (3.50 KB)\n", 4113 "</pre>\n" 4114 ] 4115 }, 4116 "metadata": {} 4117 }, 4118 { 4119 "output_type": "stream", 4120 "name": "stdout", 4121 "text": [ 4122 "Epoch 1/30\n", 4123 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m26s\u001b[0m 1s/step - accuracy: 0.5980 - loss: 50.8909 - val_accuracy: 0.5985 - val_loss: 6.5906\n", 4124 "Epoch 2/30\n", 4125 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.6606 - loss: 1.3048 - val_accuracy: 0.5985 - val_loss: 2.9594\n", 4126 "Epoch 3/30\n", 4127 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.7289 - loss: 1.1701 - val_accuracy: 0.4129 - val_loss: 3.8675\n", 4128 "Epoch 4/30\n", 4129 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.7173 - loss: 0.5580 - val_accuracy: 0.5947 - val_loss: 5.0859\n", 4130 "Epoch 5/30\n", 4131 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 95ms/step - accuracy: 0.7406 - loss: 0.5429 - val_accuracy: 0.5038 - val_loss: 0.8525\n", 4132 "Epoch 6/30\n", 4133 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 95ms/step - accuracy: 0.7308 - loss: 0.5725 - val_accuracy: 0.4053 - val_loss: 13.1580\n", 4134 "Epoch 7/30\n", 4135 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.7666 - loss: 0.5342 - val_accuracy: 0.4053 - val_loss: 26.0208\n", 4136 "Epoch 8/30\n", 4137 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.7329 - loss: 0.4749 - val_accuracy: 0.4053 - val_loss: 14.6866\n", 4138 "Epoch 9/30\n", 4139 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 95ms/step - accuracy: 0.7472 - loss: 0.5465 - val_accuracy: 0.6098 - val_loss: 19.2448\n", 4140 "Epoch 10/30\n", 4141 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 95ms/step - accuracy: 0.7600 - loss: 0.4731 - val_accuracy: 0.4621 - val_loss: 5.7807\n", 4142 "Epoch 11/30\n", 4143 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.7548 - loss: 0.4840 - val_accuracy: 0.4886 - val_loss: 4.8310\n", 4144 "Epoch 12/30\n", 4145 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 95ms/step - accuracy: 0.7632 - loss: 0.4919 - val_accuracy: 0.5947 - val_loss: 27.8006\n", 4146 "Epoch 13/30\n", 4147 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 95ms/step - accuracy: 0.7698 - loss: 0.4759 - val_accuracy: 0.4621 - val_loss: 11.9199\n", 4148 "Epoch 14/30\n", 4149 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.7649 - loss: 0.4388 - val_accuracy: 0.4697 - val_loss: 5.3411\n", 4150 "Epoch 15/30\n", 4151 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 95ms/step - accuracy: 0.7788 - loss: 0.4217 - val_accuracy: 0.5152 - val_loss: 7.7665\n", 4152 "Epoch 16/30\n", 4153 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 95ms/step - accuracy: 0.7747 - loss: 0.4219 - val_accuracy: 0.5227 - val_loss: 4.4456\n", 4154 "Epoch 17/30\n", 4155 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.7828 - loss: 0.4420 - val_accuracy: 0.4962 - val_loss: 2.9562\n", 4156 "Epoch 18/30\n", 4157 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m 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4166 "Epoch 23/30\n", 4167 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.8026 - loss: 0.3745 - val_accuracy: 0.5606 - val_loss: 2.3316\n", 4168 "Epoch 24/30\n", 4169 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.8107 - loss: 0.3712 - val_accuracy: 0.5455 - val_loss: 4.4440\n", 4170 "Epoch 25/30\n", 4171 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 95ms/step - accuracy: 0.8004 - loss: 0.3744 - val_accuracy: 0.4924 - val_loss: 1.5476\n", 4172 "Epoch 26/30\n", 4173 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 95ms/step - accuracy: 0.8091 - loss: 0.3636 - val_accuracy: 0.5265 - val_loss: 1.5609\n", 4174 "Epoch 27/30\n", 4175 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.8135 - loss: 0.3608 - val_accuracy: 0.4962 - val_loss: 3.6829\n", 4176 "Epoch 28/30\n", 4177 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 94ms/step - accuracy: 0.8196 - loss: 0.3765 - val_accuracy: 0.5644 - val_loss: 2.3240\n", 4178 "Epoch 29/30\n", 4179 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 95ms/step - accuracy: 0.8315 - loss: 0.3633 - val_accuracy: 0.5189 - val_loss: 3.3944\n", 4180 "Epoch 30/30\n", 4181 "\u001b[1m19/19\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 95ms/step - accuracy: 0.8293 - loss: 0.3488 - val_accuracy: 0.5265 - val_loss: 3.6605\n", 4182 "\u001b[1m6/6\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 165ms/step - accuracy: 0.7662 - loss: 0.7427\n", 4183 "\n", 4184 "Test loss: 0.7027453184127808\n", 4185 "Test accuracy: 0.7696969509124756\n" 4186 ] 4187 } 4188 ] 4189 }, 4190 { 4191 "cell_type": "markdown", 4192 "source": [ 4193 "# Results\n", 4194 "\n", 4195 "# Results\n", 4196 "\n", 4197 "## 1\n", 4198 "- 10 epochs\n", 4199 "- loss: categorical_crossentropy\n", 4200 "- Batch size: 64\n", 4201 "- optimizer: RMSprop\n", 4202 "- activation: relu (for all layers except output)\n", 4203 "\n", 4204 "<br>\n", 4205 "Test score: 2.2877860069274902<br>\n", 4206 "Test accuracy: 0.7651515007019043\n", 4207 "\n", 4208 "## 2\n", 4209 "- 20 epochs\n", 4210 "- loss: categorical_crossentropy\n", 4211 "- Batch size: 64\n", 4212 "- optimizer: RMSprop\n", 4213 "- activation: relu (for all layers except output)\n", 4214 "\n", 4215 "<br>\n", 4216 "Test loss: 0.45444709062576294 <br>\n", 4217 "Test accuracy: 0.831818163394928\n", 4218 "\n", 4219 "## 3\n", 4220 "- 30 epochs\n", 4221 "- loss: categorical_crossentropy\n", 4222 "- Batch size: 128\n", 4223 "- optimizer: RMSprop\n", 4224 "- activation: relu (for all layers except output)\n", 4225 "\n", 4226 "<br>\n", 4227 "Test loss: 1.4917829036712646 <br>\n", 4228 "Test accuracy: 0.4848484992980957\n", 4229 "\n", 4230 "\n", 4231 "\n", 4232 "**Introduced separate test and validation set after this point**\n", 4233 "\n", 4234 "## 4\n", 4235 "- 30 epochs\n", 4236 "- loss: categorical_crossentropy\n", 4237 "- Batch size: 128\n", 4238 "- optimizer: RMSprop\n", 4239 "- activation: relu (for all layers except output)\n", 4240 "\n", 4241 "<br>\n", 4242 "Test loss: 1.4917829036712646 <br>\n", 4243 "Test accuracy: 0.4848484992980957\n" 4244 ], 4245 "metadata": { 4246 "id": "wFn3ptG7pqI6" 4247 } 4248 }, 4249 { 4250 "cell_type": "markdown", 4251 "source": [ 4252 "**Pre Processing Testing**" 4253 ], 4254 "metadata": { 4255 "id": "GZP80_YWyEsn" 4256 } 4257 }, 4258 { 4259 "cell_type": "code", 4260 "source": [], 4261 "metadata": { 4262 "id": "mS3XmLaux4A7" 4263 }, 4264 "execution_count": null, 4265 "outputs": [] 4266 } 4267 ] 4268 }