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Exercise 1 – Common Features between McCulloch-Pitts and Perceptron
Which of the following are common features between the
McCulloch-Pitts neuron
and the
Perceptron
?
Both operate with binary inputs and binary outputs.
Both use <span class="tooltip">backpropagation<span class="tooltip-text">Backpropagation is the algorithm used to train neural networks by adjusting weights via gradient descent.</span></span> to adjust weights during training.
Both use a threshold-based activation function to decide whether to fire or not.
Both are capable of solving complex non-linear problems like <span class="tooltip">XOR<span class="tooltip-text">XOR (exclusive OR) is a logical operation where the result is true if the inputs are different. It is not linearly separable.</span></span>.
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