Table Of Contents
Table Of Contents

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