NIMA/config_technical_gpu.json

{
  "train_env": "TID2013",
  "s3_bucket": "ds-hotel-image-assessment",
  "docker_image": "idealo/nima-gpu",
  "base_model_name": "MobileNet",
  "existing_weights": null,
  "n_classes": 10,
  "batch_size": 64,
  "epochs_train_dense": 25,
  "learning_rate_dense": 0.001,
  "decay_dense": 0,
  "epochs_train_all": 25,
  "learning_rate_all": 0.0000003,
  "decay_all": 0,
  "dropout_rate": 0.75,
  "multiprocessing_data_load": true,
  "num_workers_data_load": 8,
  "img_format": "bmp"
}