tf.nn.log_softmax

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


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

See the guide: Neural Network > Classification

Computes log 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

For each batch i and class j we have

logsoftmax = logits - log(reduce_sum(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 as logits. Same shape as logits.

Raises:

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