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TinyTorch/modules/source
Vijay Janapa Reddi edfe3713be Complete comprehensive capstone README rewrite
🎯 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
2025-07-18 02:07:30 -04:00
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2025-07-14 13:04:44 -04:00