I built a GPU transfer-learning workflow for 104-class flower recognition and tried to report it honestly, including the gap between validation and held-out test scores. Repo: https://github.com/officialpm/flower-classification This is an evaluated model workflow, not a deployed flower-identification product. The approach Verify TFRecord feature names, counts and that all 104 classes appear in training and validation. Load an ImageNet-pretrained Efficien...