I attempted using transfer learning on a u-net for the Planet Amazon competition.
This was done by attaching a global average pooling layer to the out of the u-net to create the 17D output.
Does this approach make sense?
It achieved ~0.89 on the LB but I was not able to run it on the full sized images because of memory and time constraints. Any inputs much appreciated.
PS: I am in the market for a job and/or looking to work on projects.