Layer that subtracts two inputs.

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)

Arguments

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 (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 difference of the inputs.

See also

Other merge layers: layer_add, layer_average, layer_concatenate, layer_dot, layer_maximum, layer_minimum, layer_multiply