Which of the following is a key difference between the Perceptron and Adaline algorithms for training artificial neurons?

Group of answer choices

Adaline can be used for regression, while the Perceptron is only for classification

Adaline uses a non$-$linear activation function, while the Perceptron uses a sigmoid function

Adaline updates the bias, while the Perceptron does not

Adaline uses gradient descent for optimization, while the Perceptron uses a simple update rule