concept:augmentation
Augmentation
Augmentation in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Image ML
Receptive fields, normalization, and residuals
Use receptive fields, normalization, and residuals to move the vision production brief toward a defensible release.
Image MLTransfer learning for classification, detection, and segmentation
Use transfer learning for classification, detection, and segmentation to move the vision production brief toward a defensible release.
Image MLVision in the wild: thresholds, latency, and drift
Use vision in the wild: thresholds, latency, and drift to move the vision production brief toward a defensible release.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.