mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-06-01 18:55:50 -05:00
🎯 Major improvements to 16_capstone module documentation: 📚 Enhanced Structure: - Updated to reflect actual 14-module progression (not 15) - Celebrates complete ML framework students built - Shows concrete working code examples using TinyTorch components 🚀 5 Specialized Tracks: 1. Performance Ninja - Speed/memory optimization, GPU acceleration 2. Algorithm Architect - Modern ML algorithms, Vision Transformers 3. Systems Engineer - Production infrastructure, distributed training 4. Benchmarking Scientist - Scientific framework comparison 5. Developer Experience Master - Debugging tools, visualization ⚡ Professional Framework: - 4-phase timeline: Analysis → Implementation → Optimization → Evaluation - Concrete project examples with code samples for each track - Clear success criteria and measurable goals - Comprehensive deliverables structure (Technical Report, Code, Analysis, Demo) - Pro tips for framework engineering success 🎓 Outcome: Transforms basic optimization into comprehensive framework engineering specialization that demonstrates production ML systems mastery