With regards to perceptron learning, select the correct statement.

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

Perceptron learning can be used for training a regression model.

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