This operation computes the cross entropy between the target_vector
and the softmax of the output_vector.
The elements of target_vector have to be non-negative and should sum
to 1.
The output_vector can contain any values.
The function will internally compute the softmax of the output_vector.
loss_cross_entropy_with_softmax(output_vector, target_vector, axis = -1, name = "")
| output_vector | unscaled computed output values from the network |
|---|---|
| target_vector | one-hot encoded vector of target values |
| axis | integer (optional) for axis to compute cross-entropy |
| name | string (optional) the name of the Function instance in the network |
https://www.cntk.ai/pythondocs/cntk.losses.html#cntk.losses.cross_entropy_with_softmax