{
  "architectures": [
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  ],
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  "in_channels": 1,
  "input_size": [
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  "normalization": {
    "mean": 0.1307,
    "std": 0.3081
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  "dataset": "ylecun/mnist",
  "training": {
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    "batch_size": 128,
    "wall_clock_seconds": 60.0,
    "steps": 13129,
    "epochs_approx": 28.01
  },
  "metrics": {
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    "test_loss": 0.0232
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}