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.
Getting Started with Your Project
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Implementation First Steps - Codebases, Baselines, and AWS
Understanding Gradient Descent and Backpropagation
Xavier Initialization and Regularization
TensorFlow and PyTorch
Debugging DL Projects
Advanced Evaluation Metrics
Writing Your Final Report
Hyperparameter Tuning and Tensorboard
CS230