{
  "model_type": "resnet",
  "config": {
    "layers": 18,
    "num_classes": 1000,
    "input_size": 224,
    "batch_norm": true,
    "pretrained": true,
    "dropout_rate": 0.5,
    "optimizer": {
      "type": "Adam",
      "learning_rate": 0.001
    }
  }
}