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 )
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()
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