Developer Guide for Intel® Data Analytics Acceleration Library 2019 Update 2

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 XR 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