{
  "id": 445319,
  "title": "How to reach 0.996 accuracy in digit recognition",
  "url": "/competitions/digit-recognizer/discussion/445319",
  "author_name": "Ali Safaeifar",
  "post_date": "2023-10-06T12:26:13.991000",
  "votes": 0,
  "comment_count": 0,
  "views": null,
  "content": "<p>Hello everyone,</p>\n<p>I am excited to share with you my notebook titled \"How to reach 0.996 accuracy in digit recognition competition\". This notebook covers</p>\n<ol>\n<li><strong>How to Use Google Colab for Kaggle Competitions?</strong></li>\n<li><strong>Import the required packages and load the data</strong></li>\n<li><strong>Learning Rate Tracker and Scheduler</strong></li>\n<li><strong>Saving The Best Model Weights</strong></li>\n<li><strong>Data Augmentation</strong></li>\n<li><strong>The CNN model</strong></li>\n<li><strong>Compile and Train the Model</strong></li>\n<li><strong>Analyze the results for the train and validation sets</strong></li>\n<li><strong>Loading the model weights and train more</strong></li>\n<li><strong>Test set results and upload on Kaggle</strong></li>\n<li><strong>How to use Google Colab free GPUs for longer time</strong></li>\n</ol>\n<p>Here is the notebook link:<br>\n<a href=\"https://www.kaggle.com/code/alisafaeifar/how-to-reach-0-996-accuracy?scriptVersionId=145778179\" target=\"_blank\">https://www.kaggle.com/code/alisafaeifar/how-to-reach-0-996-accuracy?scriptVersionId=145778179</a></p>\n<p>I hope you find this notebook useful and informative. If you do, please upvote and leave a comment. I appreciate your feedback and suggestions. Thank you for your time and attention.</p>",
  "messages": [
    {
      "id": 2469541,
      "postDate": "2023-10-06T12:26:13.990Z",
      "content": "<p>Hello everyone,</p>\n<p>I am excited to share with you my notebook titled \"How to reach 0.996 accuracy in digit recognition competition\". This notebook covers</p>\n<ol>\n<li><strong>How to Use Google Colab for Kaggle Competitions?</strong></li>\n<li><strong>Import the required packages and load the data</strong></li>\n<li><strong>Learning Rate Tracker and Scheduler</strong></li>\n<li><strong>Saving The Best Model Weights</strong></li>\n<li><strong>Data Augmentation</strong></li>\n<li><strong>The CNN model</strong></li>\n<li><strong>Compile and Train the Model</strong></li>\n<li><strong>Analyze the results for the train and validation sets</strong></li>\n<li><strong>Loading the model weights and train more</strong></li>\n<li><strong>Test set results and upload on Kaggle</strong></li>\n<li><strong>How to use Google Colab free GPUs for longer time</strong></li>\n</ol>\n<p>Here is the notebook link:<br>\n<a href=\"https://www.kaggle.com/code/alisafaeifar/how-to-reach-0-996-accuracy?scriptVersionId=145778179\" target=\"_blank\">https://www.kaggle.com/code/alisafaeifar/how-to-reach-0-996-accuracy?scriptVersionId=145778179</a></p>\n<p>I hope you find this notebook useful and informative. If you do, please upvote and leave a comment. I appreciate your feedback and suggestions. Thank you for your time and attention.</p>",
      "rawMarkdown": "Hello everyone,\n\nI am excited to share with you my notebook titled \"How to reach 0.996 accuracy in digit recognition competition\". This notebook covers\n\n1. **How to Use Google Colab for Kaggle Competitions?**\n2. **Import the required packages and load the data**\n3. **Learning Rate Tracker and Scheduler**\n4. **Saving The Best Model Weights**\n5. **Data Augmentation**\n6. **The CNN model**\n7. **Compile and Train the Model**\n8. **Analyze the results for the train and validation sets**\n9. **Loading the model weights and train more**\n10. **Test set results and upload on Kaggle**\n11. **How to use Google Colab free GPUs for longer time**\n\nHere is the notebook link:\nhttps://www.kaggle.com/code/alisafaeifar/how-to-reach-0-996-accuracy?scriptVersionId=145778179\n\nI hope you find this notebook useful and informative. If you do, please upvote and leave a comment. I appreciate your feedback and suggestions. Thank you for your time and attention."
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2469541": "Hello everyone,\n\nI am excited to share with you my notebook titled \"How to reach 0.996 accuracy in digit recognition competition\". This notebook covers\n\n1. **How to Use Google Colab for Kaggle Competitions?**\n2. **Import the required packages and load the data**\n3. **Learning Rate Tracker and Scheduler**\n4. **Saving The Best Model Weights**\n5. **Data Augmentation**\n6. **The CNN model**\n7. **Compile and Train the Model**\n8. **Analyze the results for the train and validation sets**\n9. **Loading the model weights and train more**\n10. **Test set results and upload on Kaggle**\n11. **How to use Google Colab free GPUs for longer time**\n\nHere is the notebook link:\nhttps://www.kaggle.com/code/alisafaeifar/how-to-reach-0-996-accuracy?scriptVersionId=145778179\n\nI hope you find this notebook useful and informative. If you do, please upvote and leave a comment. I appreciate your feedback and suggestions. Thank you for your time and attention."
  }
}