threshold-majority5

5-input majority gate. Outputs 1 when at least 3 of 5 inputs are high.

Function

majority5(a, b, c, d, e) = 1 if (a + b + c + d + e) >= 3, else 0

Architecture

Single neuron: weights [1, 1, 1, 1, 1], bias -3

Fires when: sum >= 3

Parameters

Inputs	5
Outputs	1
Neurons	1
Layers	1
Parameters	6
Magnitude	8

Usage

from safetensors.torch import load_file
import torch

w = load_file('model.safetensors')

def majority5(a, b, c, d, e):
    inp = torch.tensor([float(a), float(b), float(c), float(d), float(e)])
    return int((inp @ w['neuron.weight'].T + w['neuron.bias'] >= 0).item())

print(majority5(0, 0, 1, 1, 1))  # 1
print(majority5(0, 0, 0, 1, 1))  # 0

License

MIT