Convolutional networks can be used to efficiently work with large images. We typically work with volumes that are 200x200x200 or so.
Another approach would be to use a fully connected network with lower capacity. That will often work better anyway because it will avoid some over fitting. -- --- 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.
