Computes softmax activations.
tf.compat.v2.math.softmax( logits, axis=None, name=None )
This function performs the equivalent of
softmax = tf.exp(logits) / tf.reduce_sum(tf.exp(logits), axis)
Args | |
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logits | A non-empty Tensor . Must be one of the following types: half , float32 , float64 . |
axis | The dimension softmax would be performed on. The default is -1 which indicates the last dimension. |
name | A name for the operation (optional). |
Returns | |
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A Tensor . Has the same type and shape as logits . |
Raises | |
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InvalidArgumentError | if logits is empty or axis is beyond the last dimension of logits . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/compat/v2/math/softmax