Technical Guides

EE 641: A Computational Introduction to Deep Learning

These guides provide practical, hands-on instruction for tools used throughout the course. Each guide focuses on essential workflow with working examples you can copy and modify.

Compute & Infrastructure

GPU access for training beyond a laptop.

• Cloud GPUs for Training — GPU access for model training.
• Google Colab — Hosted GPU notebooks.

Training Tools

Starting points for training runs.

• Training Template — Minimal PyTorch training scaffold.

Project

Deliverable formats and expectations.

• Model Cards — What a model card is and what yours must contain.