tf.nn.softmax | TensorFlow v2.0.0 (original) (raw)
tf.nn.softmax
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Computes softmax activations.
View aliases
Main aliases
tf.nn.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. |
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Last updated 2020-10-01 UTC.