
Given 8 bits of inputs and 8 bits of weights, the single layer perceptron will classify the inputs as class 0 or 1.
Initialize inputs and expected output in test.py, then run make in the test subdirectory.
N/A
| # | Input | Output | Bidirectional |
|---|---|---|---|
| 0 | Input bit 1 | Perceptron class output | Weight bit 1 |
| 1 | Input bit 2 | Weight bit 2 | |
| 2 | Input bit 3 | Weight bit 3 | |
| 3 | Input bit 4 | Weight bit 4 | |
| 4 | Input bit 5 | Weight bit 5 | |
| 5 | Input bit 6 | Weight bit 6 | |
| 6 | Input bit 7 | Weight bit 7 | |
| 7 | Input bit 8 | Weight bit 8 |