Hi,

This is just to let people know that we merge PRs from Gijs van Tulder that
give a much better user interface for 3d pooling and convolution and batch
norm. It is the similar to 2d pooling and convolution now. You put an
abstract 3d conv object and Theano later substitute it with the real
implementation (cudnn, gemm, ...)


The documentation link:

conv 3d:

http://deeplearning.net/software/theano_versions/dev/library/tensor/nnet/conv.html#theano.tensor.nnet.conv3d

pool 3d:

http://deeplearning.net/software/theano_versions/dev/library/tensor/signal/pool.html#theano.tensor.signal.pool.pool_3d

batch norm (grep for dnn_batch_normalization_test and
dnn_batch_normalization_train):

http://deeplearning.net/software/theano/library/sandbox/cuda/dnn.html

Happy easier 3d/5d computation!

Fred

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