Question: A single perceptron model, which includes a bias weight, uses a hard-limiter as the output activation function, therefore: We can use Gradient Descent to find

A single perceptron model, which includes a bias weight, uses a

A single perceptron model, which includes a bias weight, uses a hard-limiter as the output activation function, therefore: We can use Gradient Descent to find the weights that minimizes the error. The decision boundary is, in general, a hyperplane. O Both of the above are true O None of the above are true

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