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- 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70%+ with modern architecture - Updated demo tapes with opening comments for clarity - Regenerated welcome GIF, removed outdated demo GIFs 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude 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>