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tf.keras.backend.std

TensorFlow 2.0 version View source on GitHub

Standard deviation of a tensor, alongside the specified axis.

Aliases:

  • tf.compat.v1.keras.backend.std
  • tf.compat.v2.keras.backend.std
tf.keras.backend.std(
    x,
    axis=None,
    keepdims=False
)

Arguments:

  • x: A tensor or variable.
  • axis: An integer, the axis to compute the standard deviation.
  • keepdims: A boolean, whether to keep the dimensions or not. If keepdims is False, the rank of the tensor is reduced by 1. If keepdims is True, the reduced dimension is retained with length 1.

Returns:

A tensor with the standard deviation of elements of x.