{
  "min_examples_for_deep_learning": 1000,
  "max_attention_cells_for_simple_transformer": 4000000,
  "edge_latency_ms": 120,
  "cloud_latency_ms": 3000,
  "cnn": {
    "filters": 32,
    "kernel": 3,
    "dense_units": 64
  },
  "sequence": {
    "hidden_size": 64,
    "embedding_dim": 128
  },
  "transformer": {
    "layers": 4,
    "d_model": 256,
    "heads": 8
  }
}