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📖 New Resources Page: - Created book/resources.md with curated external learning materials - Academic courses: Stanford CS329S, Harvard ML Systems, MIT TinyML - Essential books: Chip Huyen, Andriy Burkov, Deep Learning textbook - Framework deep dives: PyTorch/TensorFlow internals and architecture - Research papers: Autograd, Adam, Attention, TensorFlow/PyTorch papers - Implementation guides: micrograd, tinygrad, Neural Networks from Scratch - Communities: MLOps, r/MachineLearning, technical blogs - Next steps: Post-TinyTorch learning paths and advanced specializations 🔄 Updated Table of Contents: - Fixed module names: networks → dense, cnn → spatial - Added 07_attention to Building Blocks section - Updated all numbering to reflect 16-module structure - Renamed 'Production & Performance' → 'Inference & Serving' - Added new 'Additional Resources' section with 📚 Learning Resources 🎯 Educational Value: - Provides context for TinyTorch implementations - Bridges from educational framework to production systems - Offers multiple learning paths for different interests - Connects TinyTorch concepts to broader ML systems ecosystem Result: Students now have comprehensive resources to deepen their understanding and apply TinyTorch knowledge to real-world systems.
71 lines
1.6 KiB
YAML
71 lines
1.6 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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- caption: Foundation
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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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- caption: Building Blocks
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chapters:
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- file: chapters/04-layers
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title: "4. Layers"
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- file: chapters/05-dense
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title: "5. Dense"
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- file: chapters/06-spatial
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title: "6. Spatial"
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- file: chapters/07-attention
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title: "7. Attention"
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- caption: Training Systems
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chapters:
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- file: chapters/08-dataloader
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title: "8. DataLoader"
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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/11-training
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title: "11. Training"
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- caption: Inference & Serving
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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: Capstone Project
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chapters:
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- file: chapters/16-capstone
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title: "16. Capstone"
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- caption: Additional Resources
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chapters:
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- file: resources
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title: "📚 Learning Resources"
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