Table Of Contents
Table Of Contents

mxnet.ndarray.IdentityAttachKLSparseReg

mxnet.ndarray.IdentityAttachKLSparseReg(data=None, sparseness_target=_Null, penalty=_Null, momentum=_Null, out=None, name=None, **kwargs)

Apply a sparse regularization to the output a sigmoid activation function.

Parameters
  • data (NDArray) – Input data.

  • sparseness_target (float, optional, default=0.1) – The sparseness target

  • penalty (float, optional, default=0.001) – The tradeoff parameter for the sparseness penalty

  • momentum (float, optional, default=0.9) – The momentum for running average

  • out (NDArray, optional) – The output NDArray to hold the result.

Returns

out – The output of this function.

Return type

NDArray or list of NDArrays