Transfer Learning, Feature Extraction, Transfer Learning Ml.
fully-connected layer (this layer’s outputs are the 1000 class scores for a different task like ImageNet), then treat the rest of the ConvNet as a fixed feature extractor for the new dataset. These features are then run through a new classifier, which is trained from scratch. It is called feature