How Bryson DeChambeau Uses Deep Learning to Analyze Every Golf Swing
Bryson DeChambeau's system runs deep learning algorithms on proprietary 2D and 3D models. It tracks over 30 body, club, and ball keypoints at phases including top of swing, impact, follow-through, and finish. The tool also records shot outcomes for each motion.
Athletes learn to replace subjective coaching notes with quantified movement data. This shifts training from guesswork to precise, repeatable adjustments based on tracked metrics. Workflows now include post-session review of model outputs rather than memory alone.
Bryson DeChambeau partners with Google Cloud on this system. The setup has produced measurable swing refinements through continuous keypoint tracking and outcome logging.
Step 1: Visit https://cloud.google.com and open the Vertex AI Vision documentation. Step 2: Upload swing footage and configure a custom model to detect 30+ keypoints on body, club, and ball. Step 3: Review the generated phase labels and outcome metrics to adjust technique before the next session.