Files
TinyTorch/site/cover.md
Vijay Janapa Reddi 7bc4f6f835 Reorganize repository: rename docs/ to site/ for clarity
- Delete outdated site/ directory
- Rename docs/ → site/ to match original architecture intent
- Update all GitHub workflows to reference site/:
  - publish-live.yml: Update paths and build directory
  - publish-dev.yml: Update paths and build directory
  - build-pdf.yml: Update paths and artifact locations
- Update README.md:
  - Consolidate site/ documentation (website + PDF)
  - Update all docs/ links to site/
- Test successful: Local build works with all 40 pages

The site/ directory now clearly represents the course website
and documentation, making the repository structure more intuitive.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-04 16:31:51 -08:00

1.5 KiB

TinyTorch: Build ML Systems from Scratch

Don't just import it. Build it.

A Comprehensive Course in Machine Learning Systems Engineering


Prof. Vijay Janapa Reddi Harvard University


2025 Edition


About This Book

This book provides a comprehensive, hands-on introduction to building machine learning systems from scratch. Rather than treating ML frameworks as black boxes, you'll implement every component yourself—from tensors and gradients to optimizers and attention mechanisms—gaining deep understanding of how modern ML systems actually work.

Course Philosophy

Build → Profile → Optimize

You'll implement each system component, measure its performance characteristics, and understand the engineering trade-offs that shape production ML systems. This approach transforms you from a framework user into a systems engineer who can debug, optimize, and architect ML solutions at scale.

Three-Tier Learning Pathway

Foundation Tier (Modules 01-07): Build mathematical infrastructure Architecture Tier (Modules 08-13): Implement modern AI architectures Optimization Tier (Modules 14-20): Deploy production systems

Course Website

For the latest updates, interactive exercises, and community resources, visit:

https://www.mlsysbook.ai/tinytorch

License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


© 2025 Vijay Janapa Reddi. All rights reserved.