tf.nn.softmax

TensorFlow 2 version View source on GitHub

Computes softmax activations. (deprecated arguments)

Main aliases

tf.math.softmax

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.math.softmax, tf.compat.v1.nn.softmax

 
tf.nn.softmax(
    logits, axis=None, name=None, dim=None
)

This function performs the equivalent of

softmax = tf.exp(logits) / tf.reduce_sum(tf.exp(logits), axis)

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).
dim Deprecated alias for axis.

A Tensor. Has the same type and shape as logits.

InvalidArgumentError if logits is empty or axis is beyond the last dimension of logits.