Dear Peter,
An example page was create for U-Net: Convolutional Networks for Biomedical Image Segmentation.
https://graiphic.io/examples/u-net-biomedical/
Be carefull, this example is not optimized because the best practice to monitor your test is to” forward” the test image after a full batch – outside of the batch loop, we purposely did it like this to display the whole code on one page without subVI. Normaly you can divide by 2 the speed of train process 🙂 .
A fit functionality will be propose before march aimed to train efficiently any model with limited monitoring.
