Question $4$

$2$ pts

With regards to perceptron learning, select the correct statement.

The perceptron algorithm can be used with any activation function, as long as it is differentiable.

Perceptron learning can be used if the classes are not linearly separable.

Perceptron learning can be used for training a regression model.

The decision boundary of the perceptron is a line on the feature space..