{
  "id": "rsinda/panda-inference-efficientnet-b1",
  "id_no": 10810118,
  "title": "Panda Inference EfficientNet-b1 ",
  "code_file": "panda-inference-efficientnet-b1.ipynb",
  "language": "python",
  "kernel_type": "notebook",
  "is_private": false,
  "enable_gpu": false,
  "enable_tpu": false,
  "enable_internet": false,
  "keywords": [
    "gpu"
  ],
  "dataset_sources": [
    "hmendonca/efficientnet-pytorch",
    "rsinda/panda-enet-b1-model"
  ],
  "kernel_sources": [],
  "competition_sources": [
    "prostate-cancer-grade-assessment"
  ],
  "model_sources": [],
  "docker_image": "gcr.io/kaggle-private-byod/python@sha256:52aa248f2a1e6f49f9b5192990c942885a53ac3962ed6aacab9180c0d3cba6cb",
  "machine_shape": "NvidiaTeslaK80"
}