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- Instructor: Jian Tang
- Trimester: Winter 2023
- When:
- Class 1 (in French): 3:30 - 6:30 PM EST, Wednesday
- Class 2 (in English): 8:30 - 11:30 AM EST, Thursday
- Where:
- Class 1 (in French): Decelles, Fondation des CPA du Québec
- Class 2 (in English): Decelles, Mont-Laurier
- Office hour:
- Jian Tang (Instructor): TBA
- Zuobai Zhang (TA): Friday 10:00 - 11:00 AM EST (recurring)
- Jiarui Lu (TA): Friday 10:00 - 11:00 AM EST (recurring)
- Google Meet: Link / PIN: 399 534 248
Objectives
- Understand machine learning basics
- Understand deep learning basics such as feedforward neural networks, convolutional neural networks, and recurrent neural networks
- Know several advanced topics in deep learning, including applications in natural language understanding, graph representation learning, recommender systems, and deep generative models
- Learn to use PyTorch for applying deep learning techniques to solve real-world problems
Prerequisites
- Linear algebra
- Python programming language
- One of following courses
- Machine Learning I: Large-scale machine learning and decision making
- Data Mining
Evaluation
- Homework: 20%
- Class Presentations: 10%
- Course Projects: 30%
- Research Proposal: 5%
- Poster: 10%
- Report: 15%
- Final Exam: 40%
Staff
