The XOR Problem: Why One Neuron Isn't Enough

The XOR rule outputs 1 when exactly one input is 1, and 0 otherwise. It looks simple, yet it broke early neural networks. 🤔

XOR gives 0 for (0,0) and (1,1), but 1 for (0,1) and (1,0). The matching pairs say no, the mismatched pairs say yes.