Tensor Golf — PyTorch tensor drills
Build fluency in PyTorch tensor operations through short, focused drills
- Problem
- Many learners understand ML concepts and math but get stuck the moment they need to write PyTorch tensor operations. There is no dedicated place to practice tensor manipulation; existing courses are theory-heavy, with few opportunities to actually write tensor code, so fluency never develops.
- Solution
- An online drill platform: each problem is a small tensor task (reshape, broadcast, index, reduce), solved by writing PyTorch code in the browser with instant validation; levels organized by topic and difficulty; accuracy and time tracked to build a daily practice habit.
- Users
- ML beginners, data science students, and developers transitioning into AI.
- MVP
- A built-in library of tensor-operation problems; in-browser code editor with instant judging; levels by topic; accuracy and timing records; a daily problem.
- Revenue
- Free basic problem set plus paid unlock of all problems and advanced topics, via subscription or one-time purchase.
- Why now
- The AI learning wave continues and PyTorch is the de facto standard, yet tensor-operation practice remains a gap. Both the problem bank and judging can run in the browser, so a solo developer can launch in weeks.
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