Sparse-SNN / train_results.json
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Connectome-inspired sparse SNN: MNIST (96.83%) + Fashion-MNIST (87.07%) checkpoints, ~2 orders lower energy
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{
"mnist": {
"test_acc": 0.9682999849319458,
"firing_rate": 0.07921598106622696,
"train_seconds": 51.9,
"train_samples": 60000,
"device": "cuda"
},
"fashion": {
"test_acc": 0.8707000017166138,
"firing_rate": 0.08240412175655365,
"train_seconds": 61.7,
"train_samples": 60000,
"device": "cuda"
}
}