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, ...)
A tensor, the difference of the inputs. If inputs
is missing, a
keras layer instance is returned.
A input tensor, or list of two input tensors. Can be missing.
Unnamed args are treated as additional inputs
. Named arguments are passed on as standard layer arguments.
Other merge layers:
layer_average()
,
layer_concatenate()
,
layer_dot()
,
layer_maximum()
,
layer_minimum()
,
layer_multiply()