{
  "id": "kilogrand/fft-with-resnet50",
  "id_no": 33891637,
  "title": "FFT with resnet50",
  "code_file": "fft-with-resnet50.ipynb",
  "language": "python",
  "kernel_type": "notebook",
  "is_private": false,
  "enable_gpu": true,
  "enable_tpu": false,
  "enable_internet": false,
  "keywords": [
    "gpu"
  ],
  "dataset_sources": [
    "radek1/rsna-mammography-images-as-pngs"
  ],
  "kernel_sources": [
    "clemchris/rbcd-downloads"
  ],
  "competition_sources": [
    "rsna-breast-cancer-detection"
  ],
  "model_sources": [],
  "docker_image": "gcr.io/kaggle-private-byod/python@sha256:4bf2725648beafe17c6146595bb48ffc20c009b055c56195114f47cb9bb9ed1c",
  "machine_shape": "Gpu"
}