This commit adds complete documentation for the 5-milestone system that transforms
TinyTorch from module-based to capability-driven learning:
📚 Documentation Suite:
- milestone-system.md: Student-facing guide with milestone descriptions
- instructor-milestone-guide.md: Complete assessment framework for instructors
- milestone-troubleshooting.md: Comprehensive debugging guide for common issues
- milestone-implementation-guide.md: Technical implementation specifications
- milestone-system-overview.md: Executive summary tying everything together
🎯 The Five Milestones:
1. Basic Inference (Module 04) - Neural networks work (85%+ MNIST)
2. Computer Vision (Module 06) - MNIST recognition (95%+ CNN accuracy)
3. Full Training (Module 11) - Complete training loops (CIFAR-10 training)
4. Advanced Vision (Module 13) - CIFAR-10 classification (75%+ accuracy)
5. Language Generation (Module 16) - GPT text generation (coherent output)
🚀 Key Features:
- Capability-based achievement system replacing traditional module completion
- Visual progress tracking with Rich CLI visualizations
- Victory conditions aligned with industry-relevant skills
- Comprehensive troubleshooting for each milestone challenge
- Instructor assessment framework with automated testing
- Technical implementation roadmap for CLI integration
💡 Educational Impact:
- Students develop portfolio-worthy capabilities rather than just completing assignments
- Clear progression from basic neural networks to production AI systems
- Motivation through achievement and concrete skill development
- Industry alignment with real ML engineering competencies
Ready for implementation phase with complete technical specifications.
