Is it possible to freeze specific layers when using Tensorflow Object Detection API?
For example, I am using EfficientDet downloaded from the Tensorflow 2 Model Zoo. When I train the model, I am going to make it predict whether an object is car,plane or motorcycle. The model is already trained on these types of objects (COCO 2017 dataset), but I want to train it more on my specific use case . But, since it is already trained on these types of object I do not want it to “forget” what it has already learned. Hence, I need to freeze some of the layers. So, is this possible? And, if it is possible, how do I know which layers I actually need to freeze? I have found that I might can use the freeze_variables parameter in the pipeline.config file?
Thanks for any help!