Maciej Smyk
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* code-block-1 * Update Convert_Model_From_Paddle.md * code-block force * fix * fix-2 * Update troubleshooting-steps.md * code-block-2 * Update README.md
1.4 KiB
1.4 KiB
SoftMax
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.. meta:: :description: Learn about SoftMax-8 - an element-wise, activation operation, which can be performed on a single tensor in OpenVINO.
Versioned name: SoftMax-8
Category: Activation function
Short description: Reference <https://github.com/Kulbear/deep-learning-nano-foundation/wiki/ReLU-and-Softmax-Activation-Functions#softmax>__
Detailed description: Reference <http://cs231n.github.io/linear-classify/#softmax>__
Attributes
-
axis
- Description: axis represents the axis of which the SoftMax is calculated. Negative value means counting dimensions from the back. axis equal 1 is a default value.
- Range of values:
[-rank, rank - 1] - Type: int
- Default value: 1
- Required: no
Mathematical Formulation
.. math::
y_{c} = \frac{e^{Z_{c}}}{\sum_{d=1}^{C}e^{Z_{d}}}
where :math:C is a size of tensor along axis dimension.
Inputs:
- 1: Input tensor with enough number of dimension to be compatible with axis attribute. Required.
Outputs:
- 1: The resulting tensor of the same shape and type as input tensor.
Example
.. code-block:: xml :force:
<layer ... type="SoftMax" ... > ... ...
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