📘 ECE 457B | 657: Starter Assignment Files

Welcome to the starter files repository for Machine Learning at the University of Waterloo. This repository contains the initial materials you’ll need to begin your course assignments.

📁 Directory Structure

• assignment2/ – Starter notebook and scaffolding code for Assignment 2
• assignment3/ – Starter notebook and scaffolding code for Assignment 3
• assignment4/ – Starter notebook and scaffolding code for Assignment 4
• README.md – You’re here!

🎯 Purpose

This repository provides partially implemented code to help you get started with each assignment.
Within each notebook, you'll find TODO sections that guide you through the required implementations. These are designed to support your understanding of the concepts taught in class.

🧠 Technical Notes

• All code is written in Python.
• Some notebooks may require additional libraries such as:
  • jax
  • numpy
  • torch
• Please refer to individual assignment instructions or the course documentation for setup and dependencies.

🙌 Acknowledgments

Developed by the ECE 657 Teaching Team – Spring 2025

• Instructor: Professor Amir-Hossein Karimi
• Teaching Assistant: Arezoo Alipanah