Perceptron-Models

[YouTube, Video Transcript, Slides]

Author: Sari Saba-Sadiya

For students in cse440 introduction for artificial intellegence, Fall 2021.

As seen in class, the perceptron is a simplified model of a biological neuron that can learn to perform classification tasks. While relatively simple, these classifiers perform surprisingly well even on non-trivial tasks such as hand written digit recognition and tumor classification.

Class Assignment

Complete the weight update function for the binary perceptron class (in assignment/perceptron_binary.ipynb)

Project

This assignment will walk you through the implementation and testing of a multiclass perceptron classifier.

Contents:
|-> perceptronCensored.ipynb : initial code. |-> cse440Perceptron.pdf : The assignment guide.

To view the code use: https://nbviewer.jupyter.org/github/sari-saba-sadiya/Perceptron-Models/blob/master/perceptronCensored.ipynb