{
  "id": 301089,
  "title": "Anomaly Detection using Autoencoders",
  "url": "/competitions/digit-recognizer/discussion/301089",
  "author_name": "Tanmay Mane",
  "post_date": "2022-01-15T18:37:47.644000",
  "votes": 0,
  "comment_count": 0,
  "views": null,
  "content": "<p>Here's a demo of how to use autoencoders for anomaly detection:</p>\n<p><a href=\"https://www.kaggle.com/tanmaymane18/autoencoder-for-anomaly-detection-tf-and-wandb/data\" target=\"_blank\">Notebook</a></p>\n<p><a href=\"https://wandb.ai/tanmaymane18/Anomaly%20Detection%20Using%20Autoencoders%20MNIST-digit/reports/Autoencoders-for-Anomaly-Detection-MNIST-DIGIT---VmlldzoxNDQ0NDQw\" target=\"_blank\">Weights and Biases report</a></p>\n<p>Thank you! Hope it helped! </p>",
  "messages": [
    {
      "id": 1651438,
      "postDate": "2022-01-15T18:37:47.643Z",
      "content": "<p>Here's a demo of how to use autoencoders for anomaly detection:</p>\n<p><a href=\"https://www.kaggle.com/tanmaymane18/autoencoder-for-anomaly-detection-tf-and-wandb/data\" target=\"_blank\">Notebook</a></p>\n<p><a href=\"https://wandb.ai/tanmaymane18/Anomaly%20Detection%20Using%20Autoencoders%20MNIST-digit/reports/Autoencoders-for-Anomaly-Detection-MNIST-DIGIT---VmlldzoxNDQ0NDQw\" target=\"_blank\">Weights and Biases report</a></p>\n<p>Thank you! Hope it helped! </p>",
      "rawMarkdown": "Here's a demo of how to use autoencoders for anomaly detection:\n\n[Notebook](https://www.kaggle.com/tanmaymane18/autoencoder-for-anomaly-detection-tf-and-wandb/data)\n\n[Weights and Biases report](https://wandb.ai/tanmaymane18/Anomaly%20Detection%20Using%20Autoencoders%20MNIST-digit/reports/Autoencoders-for-Anomaly-Detection-MNIST-DIGIT---VmlldzoxNDQ0NDQw)\n\nThank you! Hope it helped! "
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1651438": "Here's a demo of how to use autoencoders for anomaly detection:\n\n[Notebook](https://www.kaggle.com/tanmaymane18/autoencoder-for-anomaly-detection-tf-and-wandb/data)\n\n[Weights and Biases report](https://wandb.ai/tanmaymane18/Anomaly%20Detection%20Using%20Autoencoders%20MNIST-digit/reports/Autoencoders-for-Anomaly-Detection-MNIST-DIGIT---VmlldzoxNDQ0NDQw)\n\nThank you! Hope it helped! "
  }
}