GitHub PullRequestEvent at 2014-05-01 00:39:51
Repository: caffe
Actor: aravindhm
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This is useful for replicating past work such as [1]\r\n[1] Le, Quoc V., et al. \"ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning.\" NIPS. 2011.\r\n\r\nThe test's show errors when float data type is used. I think these are numerical errors (errors add up because of the several matrix multiplications involved in computing the gradient). No errors are reported for double data type.\r\nThis does not support a bias 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