When starting with Deep Learning on your own (without any legacy code or compatibility constraint), it may be daunting to choose one among the many frameworks available.
[Update 22.03.2018: link to correct Youtube publication.]
U-Net was proposed in 2015 for medical image segmentation. You can find the original paper, along with some video introduction on the project homepage. Its structure is relatively simple and shallow, so it seems to be well fitted for a learning work.
Story of a bug that I introduced in my codebase while making it parallel.
A quick tip for people who have some troubles compiling OpenCV 3.0 alpha on MacOS X.
This is (finally) a follow-up to my latest post!