NIMA/config_aesthetic_cpu.json

{
  "train_env": "remote",
  "docker_image": "nima-cpu",
  "base_model_name": "MobileNet",
  "existing_weights": null,
  "n_classes": 10,
  "batch_size": 96,
  "epochs_train_dense": 5,
  "learning_rate_dense": 0.001,
  "decay_dense": 0,
  "epochs_train_all": 9,
  "learning_rate_all": 0.00003,
  "decay_all": 0.000023,
  "l2_reg": null,
  "dropout_rate": 0.75,
  "multiprocessing_data_load": false,
  "num_workers_data_load": 1
}