{
  "id": "sun20030124yy/new-model-train-cell-type",
  "id_no": 85883242,
  "title": "new model train cell type",
  "code_file": "new-model-train-cell-type.ipynb",
  "language": "python",
  "kernel_type": "notebook",
  "is_private": false,
  "enable_gpu": false,
  "enable_tpu": false,
  "enable_internet": false,
  "keywords": [],
  "dataset_sources": [
    "",
    "",
    "",
    "",
    "",
    "hmendonca/efficientnet-pytorch",
    "dschettler8845/hpa-sample-submission-with-extra-metadata",
    "underwearfitting/hpa-b5-final-model",
    "steamedsheep/hpa-best-segmentation-take-use",
    "steamedsheep/hpa-jakiro-resnet200d",
    "steamedsheep/hpa-maozi-optimization-o1",
    "underwearfitting/hpa-resnet50d-0508",
    "steamedsheep/hpa-single-cell-b3-philandrare-5f",
    "steamedsheep/hpa-singlecell-e050f56",
    "steamedsheep/landmark-additional-packages",
    "underwearfitting/maozi-no-arcface",
    "weiyingsvk/mmdetec-0-003",
    "weiyingsvk/new-model-training-weak-supervision-0-003",
    "mhiro2/pytorch-pretrained-models",
    "hfutybx/segmentation-models-pytorch",
    "coldfir3/tf-efficientnet-b3-weights",
    "weiyingsvk/weak-supervision-0-003"
  ],
  "kernel_sources": [],
  "competition_sources": [
    "hpa-single-cell-image-classification"
  ],
  "model_sources": [
    "timm/tf-efficientnet/PyTorch/tf-efficientnet-b3/1"
  ],
  "docker_image": "gcr.io/kaggle-images/python@sha256:648f97c8be132f304cff3d397339f2d815de79721f3695f43c08a6aec3bc0a5d",
  "machine_shape": "None"
}