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5cf0150805
- Enhanced CIFAR-10 CNN with BatchNorm2d for stable training - Added RandomHorizontalFlip and RandomCrop augmentation transforms - Improved training accuracy from 65%+ to 70%+ with modern architecture - Updated demo tapes with opening comments for clarity - Regenerated welcome GIF, removed outdated demo GIFs 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
TinyTorch Documentation
This directory contains essential documentation for TinyTorch development and usage.
📚 User Documentation
STUDENT_QUICKSTART.md- Getting started guide for studentsINSTRUCTOR_GUIDE.md- Setup and grading guide for instructorscifar10-training-guide.md- Complete guide to achieving the north star goal (75% CIFAR-10 accuracy)
🔧 Development Documentation
tinytorch-assumptions.md- CRITICAL: TinyTorch complexity framework and implementation guidelines
Development Standards
development/module-rules.md- Module development standards and patterns
NBGrader Integration
nbgrader/NBGrader_Quick_Reference.md- Daily use commands and workflownbgrader/NBGRADER_STYLE_GUIDE.md- Style guide for NBGrader cellsnbgrader/NBGrader_Text_Response_Technical_Implementation.md- Technical implementation details
Start here:
- Students: Read
STUDENT_QUICKSTART.md - Instructors: Read
INSTRUCTOR_GUIDE.md - Developers: Read
tinytorch-assumptions.mdFIRST, thendevelopment/module-rules.md