Sections are hourly seminars held every week by the course assistants on various topics in deep learning. The topics are split between practice and theory, and are subject to change as the quarter progresses.
Getting Started with Your Project
Understanding Gradient Descent and Backpropagation
Implementation First Steps - Codebases, Baselines, and AWS
Xavier Initialization and Regularization
TensorFlow and PyTorch
Take a break after the midterm!
Debugging DL Projects
Advanced Evaluation Metrics
Writing Your Final Report