tf.nn.softmax

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Computes softmax activations.

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Main aliases

tf.math.softmax

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.