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

Source: R/layers-merge.R

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

Other merge layers: layer_add(), layer_average(), layer_concatenate(), layer_dot(), layer_maximum(), layer_multiply(), layer_subtract()