# tf.nn.softmax

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


Defined in tensorflow/python/ops/nn_ops.py.

Computes softmax activations. (deprecated arguments)

SOME ARGUMENTS ARE DEPRECATED. They will be removed in a future version. Instructions for updating: dim is deprecated, use axis instead

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).
• dim: Deprecated alias for axis.

#### 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.