section.md

layout	keywords	title	description	buttons	grid_navigation
homepage		TA Sections	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.		title excerpt cta url Section 1 Getting Started with Your Project Read more /section/1 title excerpt cta url Section 2 Implementation First Steps - Codebases, Baselines, and AWS Read more /section/2 title excerpt cta url Section 3 Understanding Gradient Descent and Backpropagation Read more /section/3 title excerpt cta url Section 4 Xavier Initialization and Regularization Read more /section/4 title excerpt cta url Section 5 TensorFlow and PyTorch Read more /section/5 title excerpt cta url Week 6 (No Section) Midterm Week (No Section) Read more /section/6 title excerpt cta url Section 7 Advanced Evaluation Metrics Read more /section/7 title excerpt cta url Section 8 Hyperparameter Tuning and Tensorboard Read more /section/8 title excerpt cta url Section 9 Writing Your Final Report Read more /section/9