Computes softmax activations.
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Compat aliases for migration
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more details.
`tf.compat.v2.nn.softmax`
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 |
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 |
A Tensor . Has the same type and shape as logits .
|
Raises |
InvalidArgumentError
|
if logits is empty or axis is beyond the last
dimension of logits .
|