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question about frontend models

Open ghost opened this issue 5 years ago • 3 comments

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.

ghost avatar Jan 15 '20 05:01 ghost

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

mojoee avatar Apr 08 '20 06:04 mojoee

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

ramdhan1989 avatar Jul 08 '20 14:07 ramdhan1989

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.

mojoee avatar Jul 10 '20 01:07 mojoee