Why Do We Need a Perceptron Learning Algorithm?
Did You Know?
The main difference between Mcculloch Pitts Neuron and Perceptron is, an introduction of numerical weights (w1, w2, w3, … wn ) for inputs and a mechanism for learning these weights in Perceptron.
What are these Weights?
Well, these weights are attached to each input. Like, X1 is an input, but in Perceptron the input will be X1*W1. Each time the weights will be learnt. For this learning path, an algorithm is needed by which the weights can be learnt.
So, Now we are going to learn the Learning Algorithm of Perceptron.