question about frontend models

[mill-git]

im new to this field .
In this repo, there are frontend models.
if i use them, am i doing fine-tuning ? or transfer learning?
for example, if i use ResNet101 as frontend and u-net as model, am i doing transfer learning from ResNet101 to U-net ?
Sorry to ask such a basic question.

[mojoee]

The frontend is just to extract the features from the image. The model itself will give the prediction by feeding in those extracted features

[ramdhan1989]

@mojoee can we use others such as VGG or EfficientNet from keras application as the front end ?

[mojoee]

well that's fine, but makes it complicated because you need to make sure to transform your tensor from keras to the tensorflow format. I would say, it's better to stay with tensorflow.