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btgraham / SparseConvNet-archived

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.
https://github.com/btgraham/SparseConvNet/wiki
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1d input vectors? #6

Open ameenetemady opened 8 years ago

ameenetemady commented 8 years ago

Hi,

I have a regression problem with sparse 1-dimensional input binary vectors and real valued output \in [0-1]. Should I be able to use SparseConvNet for it almost out of the box?

Thanks, Ameen.