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How a Neural Network Actually Learns: From a Single Neuron to Backpropagation
A single artificial neuron can’t solve XOR. Here’s the full, provable chain of fixes — nonlinearity, activation functions, initialization, backpropagation, batching, and the right loss function — that turns that…
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The Perceptron and the XOR Problem: Why Single Neurons Aren’t Enough (Ep:03.00)
In 1969, Minsky and Papert proved a single perceptron can never learn XOR. Module 3 of From Zero to Agents derives that proof from scratch, trains a real perceptron in…
