layer_subtract {keras} | R Documentation |
It takes as input a list of tensors of size 2, both of the same shape, and
returns a single tensor, (inputs[[1]] - inputs[[2]]
), also of the same
shape.
layer_subtract(inputs, batch_size = NULL, dtype = NULL, name = NULL, trainable = NULL, weights = NULL)
inputs |
A list of input tensors (exactly 2). |
batch_size |
Fixed batch size for layer |
dtype |
The data type expected by the input, as a string ( |
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. |
A tensor, the difference of the inputs.
Other merge layers: layer_add
,
layer_average
,
layer_concatenate
, layer_dot
,
layer_maximum
, layer_minimum
,
layer_multiply