Build PointNet from the ground up: architecture, data preparation, training, and inference on real 3D point cloud data. 8 focused lessons that give you a working deep learning pipeline for 3D. You get:
8 Hands-On Lessons: Implement PointNet step by step in PyTorch, from the T-Net alignment module to the full classification and segmentation heads.
Real 3D Datasets Included: Train on actual point cloud data, not toy examples. Includes preprocessed datasets ready for immediate use.
Classification + Segmentation: Two complete pipelines covering 3D object classification and per-point semantic segmentation with evaluation metrics.
24/7 Direct Support: Get unstuck fast with direct email access to the instructor for debugging, architecture questions, or custom use cases.
Lifetime Access + Commercial License: Keep all code, models, and data forever. Use them in client projects or internal tools. All updates included.
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