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+{
+ "schema": "rain_ep_structured_bias_screen_v1",
+ "author": {
+ "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+ "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+ },
+ "protocol": {
+ "dataset": "FashionMNIST",
+ "network": "author ConvHopfieldEnergy28 32-64-10",
+ "algorithm": "positive equilibrium propagation",
+ "mode": "clean",
+ "bias_ratio": 0.1,
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+ "batch_size": 128,
+ "training_iterations": 12,
+ "inference_iterations": 30,
+ "seed": 1988,
+ "device": "cuda",
+ "autodiff_used_for_learning": false
+ },
+ "metrics": [
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+}