{
  "id": "kurianbenoy/tpu-starter-efficentnetb3-densenet-tf-keras",
  "id_no": 9182808,
  "title": "TPU starter: EfficentNetB3+Densenet (TF/keras)",
  "code_file": "tpu-starter-efficentnetb3-densenet-tf-keras.ipynb",
  "language": "python",
  "kernel_type": "notebook",
  "is_private": false,
  "enable_gpu": true,
  "enable_tpu": false,
  "enable_internet": true,
  "keywords": [
    "tpu",
    "beginner"
  ],
  "dataset_sources": [
    "",
    "xhlulu/panda-resized-train-data-512x512"
  ],
  "kernel_sources": [],
  "competition_sources": [
    "prostate-cancer-grade-assessment"
  ],
  "model_sources": [],
  "docker_image": "gcr.io/kaggle-images/python@sha256:781e088a99924104ab3d35dfa400e776d8868160354f6688dbb8841864561171",
  "machine_shape": "Gpu"
}