- One of the first artificial neural networks that performed learning and recognition
- invented 1957 by Frank Rosenblatt
- understanding the perceptron model is a basis for understanding more complex networks
- not a deep network, only a single layer
- no back-propagation algorithm needed
- based on error learning, classical model of supervised learning
- We consider a very basic example
- realizing the logic or function with an artificial neural network
- learning the logic or function with an artificial neural network
- the logic or function is a logic function that combines two statements that can be either true or false, you know it from programming statements such as
if ((mouseX<100) || (mouseY>100)) {....}