Deep Learning

Purpose: Train, debug, and fine-tune neural networks and Transformers.

Outcomes

• Implement a network from scratch.
• Diagnose failing training runs.
• Understand attention.
• Fine-tune with parameter-efficient methods.

Audience

Practitioners comfortable with Python and T1-level math.