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🎯 Major Accomplishments: • ✅ All 15 module dev files validated and unit tests passing • ✅ Comprehensive integration tests (11/11 pass) • ✅ All 3 examples working with PyTorch-like API (XOR, MNIST, CIFAR-10) • ✅ Training capability verified (4/4 tests pass, XOR shows 35.8% improvement) • ✅ Clean directory structure (modules/source/ → modules/) 🧹 Repository Cleanup: • Removed experimental/debug files and old logos • Deleted redundant documentation (API_SIMPLIFICATION_COMPLETE.md, etc.) • Removed empty module directories and backup files • Streamlined examples (kept modern API versions only) • Cleaned up old TinyGPT implementation (moved to examples concept) 📊 Validation Results: • Module unit tests: 15/15 ✅ • Integration tests: 11/11 ✅ • Example validation: 3/3 ✅ • Training validation: 4/4 ✅ 🔧 Key Fixes: • Fixed activations module requires_grad test • Fixed networks module layer name test (Dense → Linear) • Fixed spatial module Conv2D weights attribute issues • Updated all documentation to reflect new structure 📁 Structure Improvements: • Simplified modules/source/ → modules/ (removed unnecessary nesting) • Added comprehensive validation test suites • Created VALIDATION_COMPLETE.md and WORKING_MODULES.md documentation • Updated book structure to reflect ML evolution story 🚀 System Status: READY FOR PRODUCTION All components validated, examples working, training capability verified. Test-first approach successfully implemented and proven.
89 lines
2.1 KiB
YAML
89 lines
2.1 KiB
YAML
# TinyTorch: Build ML Systems from Scratch
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# Table of Contents Structure
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format: jb-book
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root: intro
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title: "TinyTorch Course"
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parts:
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- caption: Usage Paths
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chapters:
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- file: usage-paths/quick-exploration
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title: "Quick Exploration"
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- file: usage-paths/serious-development
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title: "Serious Development"
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- file: usage-paths/classroom-use
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title: "Classroom Use"
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- file: instructor-guide
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title: "Instructor Guide"
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- caption: Course Orientation
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chapters:
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- file: chapters/00-introduction
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title: "Introduction"
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- caption: "🧠 MLP Era Foundation (1980s)"
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chapters:
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- file: chapters/01-setup
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title: "1. Setup"
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- file: chapters/02-tensor
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title: "2. Tensors"
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- file: chapters/03-activations
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title: "3. Activations"
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- file: chapters/04-layers
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title: "4. Layers"
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- caption: "🧠 MLP Intelligence (1980s)"
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chapters:
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- file: chapters/05-dense
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title: "5. Dense Networks"
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- file: chapters/11-training
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title: "6. Training (52.7% baseline)"
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- caption: "📡 CNN Revolution (1989-1998)"
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chapters:
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- file: chapters/06-spatial
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title: "7. Spatial Convolutions"
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- file: chapters/08-dataloader
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title: "8. DataLoader (CIFAR-10)"
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- caption: "🔥 Modern Training Systems"
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chapters:
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- file: chapters/09-autograd
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title: "9. Autograd"
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- file: chapters/10-optimizers
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title: "10. Optimizers"
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- file: chapters/07-attention
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title: "11. Attention Mechanisms"
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- caption: "🚀 Production Systems"
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chapters:
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- file: chapters/12-compression
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title: "12. Compression"
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- file: chapters/13-kernels
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title: "13. Kernels"
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- file: chapters/14-benchmarking
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title: "14. Benchmarking"
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- file: chapters/15-mlops
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title: "15. MLOps"
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- caption: "🤖 Universal Intelligence (2017+)"
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chapters:
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- file: chapters/16-tinygpt
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title: "16. TinyGPT"
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- caption: Additional Resources
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chapters:
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- file: vision
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title: "TinyTorch Vision"
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- file: kiss-principle
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title: "KISS Principle"
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- file: checkpoint-system
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title: "Checkpoint System"
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- file: testing-framework
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title: "Testing Framework"
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- file: resources
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title: "Learning Resources"
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