{
  "id": "fortis3000/simple-autoencoder-for-tabular-data",
  "id_no": 57505704,
  "title": "Simple Autoencoder for Tabular Data",
  "code_file": "simple-autoencoder-for-tabular-data.ipynb",
  "language": "python",
  "kernel_type": "notebook",
  "is_private": false,
  "enable_gpu": false,
  "enable_tpu": false,
  "enable_internet": true,
  "keywords": [
    "weather and climate",
    "tensorflow",
    "neural networks",
    "tabular",
    "feature extraction"
  ],
  "dataset_sources": [],
  "kernel_sources": [
    ""
  ],
  "competition_sources": [
    "leap-atmospheric-physics-ai-climsim"
  ],
  "model_sources": [],
  "docker_image": "gcr.io/kaggle-images/python@sha256:16818676e778bfe1fe392473c3b38bc4ee9a6d5d7cde03a1cb11c5186639573b",
  "machine_shape": "None"
}