{
  "meta": {
    "name": "example-experiment"
  },
  "evaluators": [
    {
      "name": "accuracy"
    }
  ],
  "with_wordnet": true,
  "interactor": {
    "name": "noisy_oracle",
    "noise_model": "Inaccuracy"
  },
  "observers": [
    {
      "name": "stream"
    }
  ],
  "sample_transformers": [
    {
      "name": "sample_weight_by_ic"
    }
  ],
  "runner": {
    "name": "epoch",
    "epochs": 2,
    "max_test_samples": 4
  },
  "dataset": {
    "name": "icifar"
  },
  "extrapolator": {
    "name": "do_nothing",
    "apply_ground_truth": true
  },
  "model": {
    "classifier": {
      "name": "chillax",
      "l2": 5e-5,
      "force_prediction_targets": true,
      "raw_output": false
    },
    "base_model": {
      "name": "keras",
      "trainer": {
        "name": "fast_single_shot",
        "batch_size": 2,
        "inner_steps": 11
      },
      "feature_extractor": {
        "side_length": 32,
        "trainable": true,
        "architecture": "ResNet50V2",
        "l2": 5e-5,
        "use_pretrained_weights": null
      },
      "optimizer": {
        "name": "sgd",
        "momentum": 0.9
      },
      "learning_rate_schedule": {
        "name": "constant",
        "initial_lr": 0.01
      }
    }
  }
}