| | ---
|
| | license: mit
|
| | tags:
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| | - pytorch
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| | - safetensors
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| | - threshold-logic
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| | - neuromorphic
|
| | ---
|
| |
|
| | # threshold-2outof4
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| |
|
| | At least 2 of 4 inputs high.
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| |
|
| | ## Function
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| |
|
| | 2outof4(a, b, c, d) = 1 if (a + b + c + d) >= 2, else 0
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| |
|
| | ## Truth Table
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| |
|
| | | a | b | c | d | sum | out |
|
| | |---|---|---|---|-----|-----|
|
| | | 0 | 0 | 0 | 0 | 0 | 0 |
|
| | | 0 | 0 | 0 | 1 | 1 | 0 |
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| | | 0 | 0 | 1 | 1 | 2 | 1 |
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| | | 0 | 1 | 1 | 1 | 3 | 1 |
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| | | 1 | 1 | 1 | 1 | 4 | 1 |
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| |
|
| | ## Architecture
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| |
|
| | Single neuron: weights [1, 1, 1, 1], bias -2
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| |
|
| | Fires when: a + b + c + d - 2 >= 0, i.e., sum >= 2
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| |
|
| | ## Parameters
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| |
|
| | | | |
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| | |---|---|
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| | | Inputs | 4 |
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| | | Outputs | 1 |
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| | | Neurons | 1 |
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| | | Layers | 1 |
|
| | | Parameters | 5 |
|
| | | Magnitude | 6 |
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| |
|
| | ## Usage
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| |
|
| | ```python
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| | from safetensors.torch import load_file
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| | import torch
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| |
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| | w = load_file('model.safetensors')
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| |
|
| | def atleast2of4(a, b, c, d):
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| | inp = torch.tensor([float(a), float(b), float(c), float(d)])
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| | return int((inp @ w['neuron.weight'].T + w['neuron.bias'] >= 0).item())
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| |
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| | print(atleast2of4(0, 0, 0, 1)) # 0 (sum=1)
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| | print(atleast2of4(0, 0, 1, 1)) # 1 (sum=2)
|
| | ```
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| |
|
| | ## License
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| |
|
| | MIT
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| |
|
