Function min

tensorflow/python/keras/backend.py:1865–1879

Minimum value in a tensor. Arguments: x: A tensor or variable. axis: An integer, the axis to find minimum values. 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 `T

(x, axis=None, keepdims=False)

@keras_export('keras.backend.min')
def min(x, axis=None, keepdims=False):
  """Minimum value in a tensor.

  Arguments:
      x: A tensor or variable.
      axis: An integer, the axis to find minimum values.
      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 minimum values of `x`.
  """
  return math_ops.reduce_min(x, axis, keepdims)


@keras_export('keras.backend.sum')