Parameters for the softmax cross-entropy layer.
More...
| def __init__ |
( |
|
self, |
|
|
|
accuracyThreshold_ = 1.0e-04, |
|
|
|
dimension_ = 1 |
|
) |
| |
Constructs parameters of the softmax cross-entropy layer
- Parameters
-
| accuracyThreshold_ | Value needed to avoid degenerate cases in logarithm computing |
| dimension_ | Dimension index to calculate softmax cross-entropy |
Checks the correctness of the parameter
- Returns
- Status of computations
Value needed to avoid degenerate cases in logarithm computing
Dimension index to calculate softmax cross-entropy
The documentation for this class was generated from the following file:
- algorithms/neural_networks/layers/loss/softmax_cross/__init__.py