This a simple Neural Network that solves for XOR.
XOR (exclusive OR) is a logical operation that takes two binary inputs and produces an output based on the following rule:
- If the inputs are different (one input is 1 and the other is 0), the output is 1.
- If the inputs are the same (both inputs are either 0 or 1), the output is 0.
In other words, the XOR operation returns true (1) if the inputs differ, and false (0) if the inputs are the same.
| Input A | Input B | Output |
|---|---|---|
| 0 | 0 | 0 |
| 0 | 1 | 1 |
| 1 | 0 | 1 |
| 1 | 1 | 0 |
For more information on neural networks see https://16-bitwisdom.com/index.php/2023/07/05/demystifying-artificial-intelligence-understanding-the-fundamentals-of-neural-networks/