| { | |
| "model_type": "threshold_network", | |
| "task": "mod8_classification", | |
| "architecture": "8 -> 1", | |
| "input_size": 8, | |
| "output_size": 1, | |
| "num_neurons": 1, | |
| "num_parameters": 9, | |
| "modulus": 8, | |
| "activation": "heaviside", | |
| "weight_constraints": "integer", | |
| "weight_pattern": "[1, 1, 1, 1, 1, 1, 1, -7]", | |
| "verification": { | |
| "method": "coq_proof", | |
| "exhaustive": true, | |
| "inputs_tested": 256 | |
| }, | |
| "accuracy": { | |
| "all_inputs": "256/256", | |
| "percentage": 100.0 | |
| }, | |
| "github": "https://github.com/CharlesCNorton/coq-circuits" | |
| } | |