For this coursework you will implement two types of Perceptrons in MATLAB and you will apply them to three datasets. You will create a function for training a Perceptron and another function for testing it on a set of test examples. You are given the following three datasets (to be downloaded from the course home page):For each of the three datasets you will apply the suitable Perceptron and explore different possible settings: different parameters (learning rates and number of epochs) different (random) initial weights and batch versus stochastic learning.Deliverables:

  
error: Content is protected !!