I've looked at the unetlayers documentation and compared it to the segnetlayers documentation. Segnetlayers gives the option for a 'model' variable, Unetlayers does not. Is there anyway round this?
Transfer learning using UNet
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I'm currently working through the "Deep Learning for Semantic Sementation" https://ch.mathworks.com/help/vision/ug/semantic-segmentation-using-deep-learning.html workbook to try and augment my unet segmentation algorithm. Is there anyway of conducting transfer learning with unetlayers? It says in the workbook it's possible with unet and I've successfully done it with the other segmentation architectures suggested (fcn and segnet). Any help appreciated!
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