CS 4375 Overview

Introduction

• Use MS Teams for questions and answers
• All announcements will be posted on elearning
• language / framework : PyTorch
• Mid term ( 20% )
• Three coding assignment ( 35% )
• class participation (10% )
• Final Exam ( 35%)
  • potentially split up into two tests or given an extra assignment
  • Necessary knowledge from first exam, but not going to be asking specifics
  • T/ F, MC, short response

Textbook

• d2l.ai

Course Content

• What is Machine Learning
  • Image Creation
• Foundation of Machine Learning
  • Loss functions, Overfitting, Optimization
• Classic Deep Learning techniques and Models
  • LeNet, ResNet, LSTM, BERT
  • Object Detection
• Practice and Implementation
  • Using PyTorch to implement what we have learned
  • Run the algorithms on real-world data
• Recurrent Neural Network
• Attention Mechanism
• High Performance Computing
• Deep Learning Foundation