Shehroz Khan's answer to What's the difference between adaboost and one layer perceptrons classifier? - Quora

Adaboost is a meta-learning machine learning (ML) algorithm, i.e., it can be used on top of any other ML algorithm. A perceptron classifier is not meta-learning ML. If you have no hidden layer, then perceptron is as good as a linear classifier, if it has one or more hidden layers then it is non-linear classifier. If it is deep (or multiple layers), then hierarchical features can be learned. The output of a perceptron is the linear combination of the feature and their associated weights.