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TensorFlow 1 version View source on GitHub

Computes softmax activations.

    logits, axis=None, name=None

Used in the notebooks

Used in the tutorials

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).


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


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