[ctchocula]

Many ML models are like this (anything used in CV e.g. ResNet, VGG). For example, if you want to classify images as being hot dog or not hot dog (classes that do not exist in ResNet), you can take weights from a pretrained ResNet-50 and finetune the last layer based on a small training set of input images labeled hot dog and not hot dog. This lets you reuse the ResNet's feature detector layers, while plugging in specialized "is this a hot dog or not" fully connected layer.

[YeGoblynQueenne]

If I understand correctly, I think you and the other poster are describing transfer learning.

[p1esk]

same thing