Especially tutorials that use Mask-RCNN for object recognition. When the third party library is up-to-date, these tutorials also will be current. Element 2: Model Evaluation. Find the failure of classification precision for skewed course distributions and alternate efficiency metrics for instance precision-remember, spot underneath ROC curves and chance scoring methods. http://josuenjwgt.blogs-service.com/28650775/details-fiction-and-python-homework-help