threshold-atmost1outof5

At most 1 of 5 inputs high.

Function

atmost1outof5(a, b, c, d, e) = 1 if (a + b + c + d + e) <= 1, else 0

Architecture

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

Fires when: -sum + 1 >= 0, i.e., sum <= 1

Parameters

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

Usage

from safetensors.torch import load_file
import torch

w = load_file('model.safetensors')

def atmost1of5(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(atmost1of5(0, 0, 0, 0, 1))  # 1 (sum=1)
print(atmost1of5(0, 0, 0, 1, 1))  # 0 (sum=2)

License

MIT