{
  "id": "dhinkris/xgboost-baseline-using-resnet50-k-means",
  "id_no": 46221768,
  "title": "XGBoost baseline (using ResNet50 + K-Means)",
  "code_file": "xgboost-baseline-using-resnet50-k-means.ipynb",
  "language": "python",
  "kernel_type": "notebook",
  "is_private": false,
  "enable_gpu": true,
  "enable_tpu": false,
  "enable_internet": false,
  "keywords": [
    "gpu"
  ],
  "dataset_sources": [
    "jirkaborovec/pyvips-python-and-deb-package-gpu",
    "crawford/resnet50"
  ],
  "kernel_sources": [
    "gunesevitan/libvips-pyvips-installation-and-getting-started",
    "dhinkris/robust-feature-extraction-resnet-k-means-t-sne",
    "dhinkris/dk-resnet50",
    "dhinkris/patch-extraction-based-on-k-means-clustering"
  ],
  "competition_sources": [
    "UBC-OCEAN"
  ],
  "model_sources": [],
  "docker_image": "gcr.io/kaggle-private-byod/python@sha256:040434ccef2406aeeb2d95dee5328bbcac373218eb6dcd77c16d5f30ad46c983",
  "machine_shape": "Gpu"
}