Developer Guide

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Loss Logistic Cross-entropy Backward Layer

For a
two
-dimensional input tensor
X
R
n
1
x 1
with batch dimension of size
n
1
and
two
-dimensional
T
R
n
1
x 1
, the layer computes a one-dimensional tensor with the logistic cross-entropy value. For more details, see Forward Loss Logistic Cross-entropy Layer.
The backward loss logistic cross-entropy layer for a given
two
-dimensional tensor
X
R
n
1
x 1
and
two
-dimensional
T
R
n
1
x 1
computes the
two
-dimensional tensor
Z
R
n
1
x 1
such that
where
  • pr
    i
    [0,1] is the probability that a sample belongs to the first of two classes

Product and Performance Information

1

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804