IE498 Deep Learning Fall 2021

IE 498 (Deep Learning)

Section DL1 (undergraduate) and DL2 (graduate)

CRN 70464 and 70465

 

Neural Network

  • Instructor: Richard Sowers <r-sowers@illinois.edu>
  • Home page: https://publish.illinois.edu/r-sowers/ (this syllabus can be found there).
  • Class meets: 08:00AM – 09:20AM TR on Zoom (link available at Canvas)
  • Office Hours: 09:30AM – 10:30AM on Zoom (link available at Canvas)
  • Text: Course Notes
  • Learning Management System: Canvas
Topics:
  • Linear Regression
  • Logistic Regression
  • Elementary Logic
  • Backpropagation
  • Stochastic Gradient Descent
  • Testing, Validation and Training
  • Feedforward Neural Networks
  • Recurrent Neural Networks
  • LSTM Networks
  • CNN’s
  • Reinforcement Learning
Grading policy: Final grades will be determined on the basis
of the total numerical score (and will be curved).

Component Weight
Hourly Exam (10/12) 15% of grade
Hourly Exam (12/7) 15% of grade
Quizzes, Projects, Homework 70% of grade

Logistical notes: