Layer that computes the minimum (element-wise) a list of inputs.

    It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape).

    layer_minimum(
      inputs,
      batch_size = NULL,
      dtype = NULL,
      name = NULL,
      trainable = NULL,
      weights = NULL
    )

    Arguments

    inputs

    A list of input tensors (at least 2).

    batch_size

    Fixed batch size for layer

    dtype

    The data type expected by the input, as a string (float32, float64, int32...)

    name

    An optional name string for the layer. Should be unique in a model (do not reuse the same name twice). It will be autogenerated if it isn't provided.

    trainable

    Whether the layer weights will be updated during training.

    weights

    Initial weights for layer.

    Value

    A tensor, the element-wise maximum of the inputs.

    See also