Yes, you can do it. Use conv2d + maxpool or strided conv2d on the way down.
On the way up you need to upsample (T.extra_ops.repeat), concatenate, then (de)convolve. Padding the convolutions is probably the trickiest part. Lasagne's Upscale2DLayer, concat and Deconv2DLayer work well for the upward arm. On Wednesday, July 13, 2016 at 4:27:35 PM UTC-4, [email protected] wrote: > > Hello Theano users, > > Would U-Net architecture be implementable in Theano, or are some specific > layer models missing? > http://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/ > > Anybody could help getting me started or pointing me to some similar > architecture? > > Best, > Sébastien > -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
