config.json

{
  "export": {
    "use_latest": 1
  }, 
  "common": {
    "num_threads": 8, 
    "gpus": 0
  }, 
  "test": {
    "use_latest": 1, 
    "classification_report_output": 1, 
    "test_batch_size": 10, 
    "confusion_matrix_output": 1
  }, 
  "finetune": {
    "max_random_shear_ratio": 0.01, 
    "disp_batches": 10, 
    "wd": 1e-05, 
    "models": [
      "imagenet1k-inception-v3"
    ], 
    "batch_size": 10, 
    "lr_factor": 0.1, 
    "random_mirror": 1, 
    "mom": 0.9, 
    "num_epochs": 20, 
    "auto_test": 1, 
    "optimizers": [
      "sgd"
    ], 
    "num_active_layers": 1, 
    "max_random_aspect_ratio": 0.05, 
    "max_random_rotate_angle": 30, 
    "train_accuracy_graph_output": 1, 
    "lr": 0.0001, 
    "random_crop": 1, 
    "lr_step_epochs": 10
  }, 
  "data": {
    "quality": 100, 
    "shuffle": 1, 
    "center_crop": 0
  }, 
  "ensemble": {
    "models": [
      "20180130074818-imagenet1k-nin-nadam-0003", 
      "20180130075252-imagenet1k-squeezenet-nadam-0003", 
      "20180131105109-imagenet1k-caffenet-nadam-0003"
    ], 
    "confusion_matrix_output": 1, 
    "ensemble_batch_size": 20, 
    "classification_report_output": 1
  }
}