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