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)A list of input tensors (at least 2).
Fixed batch size for layer
The data type expected by the input, as a string (float32,
float64, int32...)
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.
Whether the layer weights will be updated during training.
Initial weights for layer.
A tensor, the element-wise maximum of the inputs.
Other merge layers: layer_add,
layer_average,
layer_concatenate, layer_dot,
layer_maximum,
layer_multiply,
layer_subtract