Information

• Instructor: Jian Tang
• Trimester: Fall 2024
• When:
  • Class 1: 3:30 - 6:30 PM EST, Monday
  • Class 2: 8:30 - 11:30 AM EST, Friday
• Where:
  • Zoom
• Office hour:
  • Jian Tang (Instructor): 2:00 - 3:00 PM EST, Friday
  • Jianan Zhao (TA): 10:00 - 11:00 AM EST, Thursday
  • Xinyu Yuan (TA): 10:00 - 11:00 AM EST, Friday
• Discord:
  • Join the discord for course discussion via this link

Objectives

• Develop a basic understanding of machine learning principles.
• Learn the fundamentals of deep learning, including feedforward neural networks, convolutional neural networks, recurrent neural networks, and transformers.
• Explore advanced topics in deep learning, such as natural language understanding, graph representation learning, deep generative models.
• Gain experience using PyTorch to apply deep learning techniques to solve practical problems.

Evaluation

• Homework: 20%
• Class Presentations: 10%
• Course Projects: 30%
  • Research Proposal: 5%
  • Poster: 10%
  • Report: 15%
• Final Exam: 40%

Staff

Jian Tang

Instructor

Jianan Zhao (jianan.zhao@mila.quebec)

Teaching Assistant

Xinyu Yuan (xinyu.yuan@mila.quebec)

Teaching Assistant