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Bryson DeChambeau Turns to Deep Learning for Swing Analysis

What happened

The system uses deep learning algorithms with proprietary 2D and 3D models to track over 30 key points on the body, club, and ball. It records swing phases including top of swing, impact, follow-through, and finish, then logs shot outcomes. Source: Google Cloud Blog.

Why it matters

This approach shows how motion capture data can replace subjective coaching feedback. Readers learn to treat performance as measurable input rather than feel-based guesswork. The workflow shifts from video review to quantified biomechanical analysis.

Who's doing it

Bryson DeChambeau partnered with Google Cloud to apply these models during practice sessions and reported measurable improvements in swing consistency. The same technology is now used by multiple PGA players for daily training feedback.

Try it

  1. Open Google Cloud's Sports AI demo at cloud.google.com/solutions/sports.
  2. Upload a 2D or 3D swing video and run the motion tracking model.
  3. Review the generated report of 30+ body and club points to identify one mechanical adjustment before your next session.

Read the original at cloud.google.com

Comments

4 from the panel

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  • The Anchor what could go wrong

    BREAKING: GOLFERS ARE ALREADY REPLACING HUMAN COACHES WITH AI MOTION TRACKING... YOUR SWING IS NEXT

  • The Boss hype translator

    AI Crusher: Bryson DeChambeau's Neural Blockchain Swing Coach

  • The Yinzer BS detector

    Bryson DeChambeau's AI Swing Lab: How Google Cloud Is Tracking 30-Plus Body Points to Crush Golf Scores

  • Karen what's the catch

    EXCUSE ME?! Bryson DeChambeau Just Bought AI to Track His Every Golf Swing Move and Google Is Bragging About It